Sensor hubs have become ubiquitous in smartphones and wearable devices over the past few years. They first started out as discrete MCUs for offloading sensor functions from the application processor (AP) to a lower-power processor to preserve battery power while the main AP is "sleeping".
In 2013, Apple introduced the M7 discrete sensor hub from NXP for motion sensing in the iPhone 5s and Samsung released the Galaxy S4 with a discrete sensor hub from Atmel. Qualcomm had already launched versions of the popular Snapdragon application processor with integrated low-power sensor core for smartphones a few years earlier, and in 2015, Google launched the Android Sensor Hub.
This report provides a comprehensive overview of the technologies and market for sensor hubs for mobile and consumer electronics applications, and addresses several key questions such as:
● What are the main usual sensor hub architectures and sensor hub types?
● What are the applications, opportunities, and recent developments for sensor hubs?
● What are the emerging trends with sensor hub technologies?
● Who are the main players in the sensor hub space?
The report contains the following sections:
● Executive summary
● Sensor hubs overview and introduction -- overview of sensor hubs in consumer and mobile applications, including types of applications, market size and growth, and industry trends
● Sensor hub architectures -- comprehensive review of the history of sensor hubs, available architectures, operating system compatibility and system level integration
● Sensor hub types, features, and functionality -- complete review of available sensor hub types, detailed comparison of sensor hubs and how future sensor hubs are shaped by market forces
● Sensor hub applications -- analysis of how sensor hubs are being used in consumer and mobile applications, challenges in system integration and emerging technologies
● Sensor hub main players -- close look at main sensor hub suppliers, partnerships and acquisitions
● Sensor hub platforms and ecosystems -- Examples of development platforms and how developers can use these, proprietary technology advantages and issues pertaining to data privacy and security
● Related technologies -- presentation of related technologies impacting how sensor hubs are being designed, developed, integrated and used
● Recent sensor hub developments
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Sensor Hubs for Mobile and Consumer Electronics Applications -- New Report Sample
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FOR MOBILE AND CONSUMER
ELECTRONICS APPLICATIONS
SENSOR HUBS
Market Research Report
August 2016
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Table of Contents
I. Executive Summary ……………………………………………….……….…
II. Sensor Hubs Overview and Introduction ………………………….
1. Overview
2. Sensor Hub Applications Overview
3. Market Size and Growth
4. Top Buyers and Suppliers
5. Market Trends and Forces
i. Customer Demands
ii. Technology Advances and Challenges
iii. Make vs. Buy
iv. Discrete vs. Turnkey Solutions
v. Sensor Fusion
vi. Always On Functionality
vii. Power Management
III. Sensor Hub Architectures ………………………………………………….
1. Overview
2. History of Sensor Hubs
3. Evolution of Sensor Hubs
4. Sensor Hub Architecture Hardware and Software
5. Sensor Hubs for Non-RTOS Operating Systems
6. Sensor Hubs for RTOS Operating Systems
7. Current Trends in Sensor Hubs
IV. Sensor Hub Types, Features and Functionality ……………………
1. Overview
2. Traditional Sensor Approach
3. What can Sensor Hubs do?
4. Sensor Fusion and Functionality
5. Sensor Hub Type Comparison
6. Sensor Hub Types Deep Dive
i. Application Processor with Sensor Core
ii. Discrete Microcontroller
iii. Sensor Integrated Microcontroller
iv. Programmable Logic and FPGAs
v. Application Specific Integrated circuit (ASIC)
vi. Global Navigation Satellite Systems (GNSS)
V. Sensor Hub Applications ……………………………………………………
1. Overview
2. Business Models
3. System Integration
4. Software Algorithms
5. Mobile Phones
6. Tablets
7. Wearables
8. Internet of Things (IoT)
6
12
35
62
91
VI. Sensor Hub Main Players ..………….....................................
1. Overview
2. Market Competition
3. Main Players
4. Partnerships
5. Mergers and Acquisitions
VII. Sensor Hub Platforms and Ecosystems ..…………................
1. Overview
2. Development Platforms
3. IP and Proprietary Technology
4. Data Storage and Management
5. Privacy and Security
VIII. Related Technologies ..………….........................................
1. Overview
2. Sensor Types
3. Sensor and Semiconductor Integration
4. Sensor Algorithms
5. Advanced Packaging
6. Cloud Computing
Appendix: Recent Sensor Hub Developments .......................
About Us: MEMS Journal Market Intelligence Services ..………
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List of Figures
1. Sensor Hub Types and Development
2. Global Sensor Hub Shipments for Consumer and Mobile
3. Sensor Hub Types | Forecasted in 2014
4. Main Sensor Hub Suppliers
5. Top Smartphone Manufacturers
6. Top Tablet Manufacturers
7. Top Wearables Manufacturers
8. Global Wearables Market Size by Device Category
9. IoT Semiconductor Market by 2019
10. Discrete sensor hub power consumption
11. Global Revenue MEMS Combo Sensors in Consumer/Mobile
12. Hard Sensing vs. Soft Sensing
13. MCU Market History and Forecast
14. Connected Devices Forecast to 2020
15. Timeline of Significant Product and Sensor Hub Milestones
16. ARM Cortex MCU Energy Efficiency
17. Sensor Hub Usage in Apple Smartphones
18. Sensor Hub Usage in Samsung Smartphones
19. Integrated versus Discrete Sensor hub
20. Discrete Sensor Hub Types
21. Hardware Technologies and Power Consumption
22. Hardware Accelerator Example: FIR Filter Performance
23. Sensor Hub Power Comparison
24. Traditional Approach versus Sensor Hub
25. Sensor Fusion targeting Indoor Navigation
31. Movea’s Mobile Data Fusion Models
32. Sensor Hub Functionality in Smartphones and Wearables
33. LP-Research’s Sensor Fusion Algorithms for Mobile
34. Bosch Sensortec’s Sensor Fusion Roadmap
35. Sensor Hub Hardware and Solutions Providers by Type
36. Discrete Sensor Hub, Application Implementation
37. Discrete Sensor Hub, System Block Diagram
38. Discrete Sensor Hub, Hardware Block Diagram
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31. AP Sensor Hub, Application Implementation
32. Hub w/ Integrated Sensors, Application Implementation
33. Discrete and Sensor Hubs with Integrated Sensors
34. Hub w/ Integrated Sensors, System Block Diagram
35. Prog. Logic Sensor Hub, Application Implementation
36. Programmable Logic Sensor Hub, System Block Diagram
37. Sensor Hub Business Models
38. Vertical Integration by Sensor Hub Suppliers
39. Sensor Hub in IoT Implementation
40. MEMS Gyroscope Bias Drift over Time
41. Android’s Sensor Software Stack
42. Sensor Hubs as Masters and Slaves
43. Sensor Hubs, beyond Sensor Management
44. Always-On Contextual Sensing
45. Samsung’s use of Sensors in Smartphones
46. Apple’s Latest AP and Sensor Hub Architecture
47. 3D Camera using Sensor Hub for Tablets
48. Three Main Categories of Wearables
49. Sensor Hub Implementation for the IoT
50. MEMS and Sensor Shipments for Wearable Devices
51. Freescale’s Sensor Development Platform
52. Quicklogic’s Senor Hub Development Board
53. Arduino 101 Sensor Hub
54. Mobile and Consumer Sensor Hub Ecosystem
55. Sensor Platform’s Open Sensor Platform (OSP)
56. Synposys IP Blocks for Sensor Hubs
57. How sensor data gets to the cloud
58. Total MEMS Market by Device
59. MEMS Maturity by Device
60. Tronics’ Standard MEMS Platform
61. Advanced Packaging Production Forecast
62. Advanced Packaging Technologies
63. Cloud Computing for Context Awareness
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Introduction
This report provides a comprehensive overview of sensor hubs for mobile and consumer applications,
and addresses several high level questions:
– What are the different sensor hub architectures and sensor hub types?
– What are the applications, opportunities and recent developments for sensor hubs?
– What are the emerging trends for sensor hub technology?
– Who are the main players in the sensor hub space?
The report contains the following sections:
I. Executive Summary
II. Sensor Hubs Overview and Introduction – Overview of sensor hubs in consumer and mobile
applications, including types of applications, market size and growth, and industry trends
III. Sensor Hub Architectures – Comprehensive review of the history of sensor hubs, available
architectures, operating system compatibility and system level integration
IV. Sensor Hub Types, Features and Functionality – Complete review of available sensor hub types,
detailed comparison of sensor hubs and how future sensor hubs are shaped by market forces
V. Sensor Hub Applications – Analysis of how sensor hubs are being used in consumer and mobile
applications, challenges in system integration and emerging technologies
VI. Sensor Hub Main Players – Close look at main sensor hub suppliers, partnerships and acquisitions
VII. Sensor Hub Platforms and Ecosystems – Examples of development platforms and how developers
can use these, proprietary technology advantages and issues pertaining to data privacy and security
VIII.Related Technologies – Presentation of related technologies impacting how sensor hubs are being
designed, developed, integrated and used
Appendix: Recent Sensor Hub Developments
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The increasing amount of sensor data requires more
complex sensor fusion algorithms and more powerful
sensor hub controllers
“ “
Tony Massimini, Chief of Technology
Semico, 2015
What is being said around the industry about sensor hubs?
The demand for the sensor hub is the awakening of
contextual sensing where always-on sensing is required
without [the smartphone] being engaged
“ “
Claire Jackoski, Components Group
Intel, April 2015
Consumers are demanding more sophisticated, sensor-
based applications that don’t compromise on battery life“ “
Brian Faith, VP of WW Sales and Marketing
Quicklogic, September 2014
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Smartphones, tablets, wearables and emerging Internet-of-
Things (IoT) are the main consumer markets for sensor hubs
Common Sensor Hub UsesDevices with Sensor Hubs
• Activity Monitoring – Fitness tracking that
started out as simple pedometers for calorie
tracking, is now evolving into activity
recognition and advanced health monitoring
• Voice Commands – Use of voice commands
for non-contact interaction to operate
functions and applications
• Contextual Awareness – Used to provide
context enabled functions, such as dimming
the display in direct sunlight, and increase the
ringtone volume in noisy environments
• Gesture Recognition – Sensor fusion for
recognizing user gestures to enable specific
functions, such as unlocking a smartphone
• Positioning and Navigation – Sensor assisted
indoor and outdoor navigation with the
ultimate goal of performing dead-reckoning
Images from BGR, Channeleye, Solarenergy and Crowdsourcetesting
Smartphones Tablets
Wearables
(fitness trackers,
smartwatches, smart
clothing)
Consumer Electronics Sensor Hub Applications
IoT and Connected
Devices
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The variety of sensor hub types and solutions for consumer
electronics has rapidly increased in recent years
Source: “Atmel, Qualcomm, NXP Lead Booming Sensor Hub Market”, IHS, 2014
2010 2015+
Apple uses NXP
sensor hub for
iPhone 5s
2011 2013 20142012
Sensor Hub Types and Development Examples for Mobile and Consumer Electronics
Early sensor hubs were
discrete low-power MCUs
Number of sensor hub suppliers
increased from 16 to 33
Apple integrates
sensor core in A9
AP for iPhone 6S
and 6S Plus
TI releases
MSP430, a
popular low
power sensor
hub
TI releases
SensorTag, a
development
kit for sensor
applications
TI releases
SensorTag,
version 2
Qualcomm
integrates sensor
core in the apps
processors
Quicklogic starts
to develop FPGA-
based sensor
hubs
Invensense
releases sensor
hub w/ 6D
motion sensor
9D motion
sensor hub co-
developed by
Hillcrest and
Bosch
GNSS sensor hub
from Broadcom
Atmel announces
sensor hub
platform and
sensor supplier
partnerships
Samsung selects Atmel
sensor hub for Galaxy Note II
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There are several main trends and forces impacting the sensor
hub industry and its players
Consumer
Demands
Power
Management
Always On
Sensing
Algorithms and
Contextual
Awareness
Cost of
Components
Connectivity
Consumer demands
for sensor-enabled
user experiences,
such as health and
fitness monitoring
in mobile and
consumer devices
are driving the
sensor hub market.
Sensor hubs are
included in all high-
end smartphones
and tablets, but are
now increasingly
being targeted for
wearables and IoT
devices with
“heavy” sensor
content.
Increased use of
sensors and
advanced sensor
fusion algorithms
require increasingly
more processing
performance and
power. MCUs are
becoming more
efficient, with every
generation, but this
does not outweigh
the need for
additional power.
Sensor hubs are
seeing a shift from
software to more
power efficient,
programmable
hardware.
Newer
smartphones
contain sensor
features that are
always on (e.g. step
counting for fitness
tracking) as key
product
differentiators. By
offloading these
types of “always
on” functions, it will
allow the main
application
processor to stay in
deep sleep while a
separate, lower
power sensor hub
will continue to run
and process sensor
data.
Raw sensor data is
by and large
meaningless to the
average consumer.
Aggregation of
sensor data is
needed to make
more intelligent
systems that are
contextually aware,
by for example,
adjusting the
display brightness
based on the
ambient light
conditions or count
vertical steps with
an altimeter when
running up and
down stairs.
Commoditization of
MEMS sensors have
reduced the cost
and size to where
these devices can
be included almost
anywhere. The
proliferation of
sensors allow more
sensor data to be
captured,
aggregated, and
analyzed for new
and advanced
features. Increased
use of sensors and
real-time
processing of
sensor data is a
major driver for
sensor hubs.
Wireless connected
devices that run off
batteries are a key
driver for sensor
hubs to be low
power and to have
embedded wireless
communication
capabilities. GNSS
sensor hubs with
integrated GPS for
navigation and
location are already
used in some
smartphones. This
is a major step in
the direction of
adding connectivity
and wireless
communication to
sensor hubs.
Sources: See following pages
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Increasing volumes, lower manufacturing costs and aggressive
price competition for MCUs, sensors and other components
Source “Microcontroller Market Plagued by Price Erosion”, EE Times, August 2015
• MCU shipments fueled by consumer applications, such as sensor hubs for wearables and IoT devices,
are expected to increase by 33% in 2015, to reach 25.4B units. However, the revenue in the same time
period is expected to increase by only 4% as the ASP continues to fall at an unprecedented rate (21%
price erosion estimated for 2015)
• MEMS sensors are experiencing aggressive price erosion as well, with 3-axis accelerometers reportedly
retailing for under $0.20 in volumes. This includes a sensor, an ASIC, packaging and calibration testing
• The combination of high shipment volumes, scalable manufacturing processes and price shopping by
the “big guys” in consumer electronics, including Apple and Samsung are the main factors in driving
down the ASP
Trends | Cost of Components
$0.40
$0.50
$0.60
$0.70
$0.80
$0.90
$1.00
0
10,000
20,000
30,000
40,000
50,000
2012 2013 2014 2015 2016 2017 2018 2019
MillionsofDollarsandUnits
Market ($M) Units (M) ASP ($)
MCU Market History and Forecast
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Smartphones and tablets are popular hubs for providing
wearables and IoT devices with connectivity
Images from standards and organizations for Zigbee, Bluetooth, NFC, RF4CE, WiFi, 4G LTE, Nike, Ant+ and Z-wave
Source: “Mobile Hub June: Internet Trends 2015”, Big Mobile, June 2015
• Wearables and IoT devices typically need to transmit sensor
data wirelessly to a hub, which could be a smartphone,
tablet or a computer
• Physical space is extremely limited in many of these
products and a key trend is increased integration, which
extends to wireless connectivity. For example, TI has
released Bluetooth Smart and WiFi devices with a
programmable MCU for running custom applications. This
might extend to solutions for sensor hubs with integrated
wireless connectivity
Trends | Connectivity
• Increased integration of wireless
communication circuitry (such as
WiFi, Bluetooth etc.) in sensor hubs
• Sensor hubs optimized to connect
and control external wireless
communication chips
• Increased local processing of sensor
data to aggregate data before being
transmitted. This will save overall
system power usage
Impact
Common Wireless
Communication Standards
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We expect that the annual market for embedded processors
as sensor hubs in handsets, tablets and wearable health and
fitness devices will exceed 2.0 billion units by 2019
“ “
Tom Hackenberg, Principal Analyst
IHS Technology, July 2015
What the industry is saying about sensor hubs
… the smartphone industry has followed a logical design
progression with sensor processing shifting from an ARM
core and an application processor to an embedded ARM
core and a sensor hub
“ “
Andrew Pease, CEO
Quicklogic, April 2015
There’s an insatiable appetite for power savings and new
functionality in mobile devices and wearable electronics“
“
Chad Lucien, SVP Sales and Marketing
Hillcrest Labs, October 2013
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Sensor hubs continue to evolve with increased use of sensors
and advanced features such as always on sensing
Sources: See sources on following pages
2007 2013 20152014…
Apple’s original
iPhone
launched
Application
processor as
sensor
processor for
accelerometer,
ambient light
and proximity
sensors
iPhone 6s/6s
Plus launched
Significant usage of sensors, especially in flagship products from leading suppliers, have
been driving the evolution of sensor hubs for smartphones
Android Sensor
Hub by
Hillcrest Labs
First sensor hub
specifically
designed for
Android running
on ARM
Application
processor with
integrated
sensor core for
always on
functionality
iPhone 5s
launched
Timeline of Significant Product and Sensor Hub Milestones
Adoption of
MCU sensor hub
for always on
motion sensing
Samsung’s
Galaxy S6
launched
Application
processor with
GNSS sensor
hub for always
on location,
positioning and
motion sensing
Google’s
Android Sensor
Hub launched
Android Sensor
Hub from
Google in
Nexus 6P and
Nexus 5X for
activity
recognition etc.
Qualcomm’s
Snapdragon w/
sensor core
First
application
processor with
integrated
sensor hub for
always on
sensors
Proliferation of
sensor hub
types and
suppliers
Number of
sensor hub
suppliers
increased from
16 to 33
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Hardware architectures used in sensor hubs can be used
separately or in combination with each other (1/2)
• MCUs are general purpose integer math
processors with an interrupt sub system
designed for simple math and to control
other, peripheral devices
• MCUs are optimized for flexibility and are
fully programmable
• MCUs typically contain a processor core,
volatile and non-volatile memory, and
programmable input/output peripherals
MCU
• FPGA is an integrated circuit that can be
configured after manufacturing - in the field
• FPGAs contain an array of programmable
blocks and a reconfigurable hierarchy for
connecting these blocks together to perform
customer specific operations
• Programming FPGAs requires a different
skillset than MCUs, and is also more complex
and challenging to debug
Programmable Logic (FPGA)
DSP
Fixed Logic
• DSPs are processors optimized for streaming
digital signals, often with special instructions
for doing multiple tasks in a single cycle
• DSPs offer computing performance, real-time
processing and power efficiency
• Historically, DSPs were used for speed and
MCUs for simpler, discrete operations such as
turning on an LED etc. The difference
between the two is almost gone nowadays
• Fixed logic is just that - fixed. It is hardware
logic that can not be changed or configured
• Fixed logic is implemented for doing discrete,
fixed tasks, but very fast and with minimum
power
• Implementing functionality in fixed logic has
its limitations, but is commonly used to
perform tasks that do not need to change,
such as simple and complex math functions
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Hardware architectures used in sensor hubs can be used
separately or in combination with each other (2/2)
Hardware vs Software
• All processing involves hardware. For example, a sensor signal conditioner (i.e. ASIC) for sensors handles the
low-level analog-to-digital conversion (ADC), calibration, decimation, and serialization for digital transmission
• Software provides flexibility and potentially lower cost since the same hardware is used for everything,
rather than custom logic that add device real-estate. Hardware typically provides much higher performance
and lower power
• In the chart below, the microprocessor is the most flexible, but power inefficient. Dedicated hardware is not
configurable, but the most power efficient. In between is the DSP and programmable logic (i.e. FPGA)
Image from Extreme Tech
Source: “Intel, eASIC in deal to build custom hardware, server solutions”, Extreme Tech, May 2015
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There are four main sensor hub types, ranging between full
software programmability to dedicated hardware logic
Note: ROHM Semiconductor includes Kionix and LAPIS Semiconductor
Discrete and
Turnkey
Microcontrollers
Application
Processor with
Sensor Core
Sensors with
Integrated
Sensor Hub
Programmable
and Fixed Logic
More
Software
More
Hardware
Sensor Hub Hardware and Solutions Providers by Sensor Hub Type
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Vertical integration is desired in a competitive environment
where hardware and sensors quickly become commoditized
Images from mCube, Hillcrest Labs and company logos
Sensor software providers
developing their own
hardware solutions
Hardware providers
developing sensor
algorithms and support
Sensor providers adding
both sensor hub
hardware and sensor
software
Software Providers
Hardware Providers
Sensor Providers
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Sensor-enabled navigation and location detection
Pedestrian Monitoring Algorithms | Beyond Step Counting
Step Tracking Heading Floor Detection Dead Reckoning
Description
• Measure step cadency, speed
and distance when walking
Applications
• Health and fitness
User Experience
• Activity monitoring
Sensors (Data)
• Accelerometer
Description
• Direction of movement
Applications
• Navigation
• Gaming
• Augmented/virtual reality
User Experience
• Custom functionality (e.g.
augmented and virtual
reality)
• Direction detection
Sensors (Data)
• Accelerometer
• Gyroscope
• Magnetometer
Description
• Floor detection
Applications
• Indoor navigation
• Commerce
User Experience
• Fitness tracking
• Location-based ads for
commerce
Sensors (Data)
• Pressure sensor
Description
• Navigation without GPS
(sensors only)
Applications
• Navigation
User Experience
• More accurate navigation
experience
Sensors (Data)
• Accelerometer
• Gyroscope
• Magnetometer
• Pressure sensor
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High-end wearables are starting to adopt sensor hubs and
sensor algorithms previously developed for smartphones
Alcatel’s Onetouch Smartwatch
Smartwatch with a sensor hub from Hillcrest Labs
with always on functionality, including context
awareness, activity tracking and gesture
recognition
Sony Smartwatch 3
TAG Heuer’s smartwatch is
powered by an Intel Quark
DSP with an integrated
sensor hub and runs Android
Wear. It features 6-axis
motion combo sensor (3D
accelerometer and 3D gyro)
Images from Hillcrest Labs, TAG Heuer, Adidas and Sony
Source: “Hillcrest Labs Powers Alcatel Onetouch’s Smartwatch with Advanced Sensor Hub for Context Awareness and Activity Tracking:, Hillcrestlabs, January 2015
“Runtastic hides its new fitness tracker in a smartwatch”, Mashable, September 2015
Smartwatch with sensor hub from PNI Sensors
managing 9D motion sensing and ambient light
sensor
TAG Heuer Smartwatch
Fitness tracker from Adidas that tracks steps,
calories burned and sleep patterns. Includes a
sensor hub and sensor algorithm solution
from Quicklogic
Adidas’ Runtastic Fitness Tracker
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Bosch is a leading provider of MEMS sensors and has also
released several sensor integrated sensor hubs
Images from Bosch and EE Times
Source: “Bosch Debuts 1st MEMS Sensor Hub”, EE Times, March 2015
Sensor Hub Provider | Bosch | www.bosch-sensortec.com
• Bosch Sensortec (Germany) is a leading global provider of MEMS
sensors in mobile and consumer markets and is now a contender in
the sensor hub space
• In 2015, Bosch launched its first two sensor hubs with integrated
sensors
– BHI160: low-power sensor hub with 6-axis IMU
– BHA250: low-power sensor hub with 3-axis accelerometer
• Bosch’s two sensor hubs are specifically targeting Android mobile
applications, including augmented reality, immersive gaming, indoor
navigation, dead-reckoning, pedometer, gesture and activity
recognition
• Bosch also offers application specific sensor nodes using sensor fusion
and customized microcontroller firmware
• Jeanne Forget, Global Marketing Director commented on the addition
of sensor hubs to the product portfolio: “Bosch has already been
combining different sensors on the same chip for inertial, geomagnetic
and environmental applications… now we are announcing Bosch's first
sensor hubs, to combine MEMS sensors of any type with an on-chip
micro-controller to perform the sensor fusion, which is especially good
for IoT applications"
Key Team Members
• Jeanne Forget, Global Marketing Director
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Quicklogic is combining software and programmable logic to
optimize for power and performance in dedicated sensor hubs
Images from Quicklogic
Source: “Programming QuickLogic’s Sensor Hub”, EE Journal, April 2014
Sensor Hub Provider | Quicklogic | www.quicklogic.com
• QuickLogic Corporation (Sunnyvale, CA) is a leading provider of
sensor processing platforms for mobile and consumer applications
• Quicklogic is currently on the second generation of sensor hubs and
has chosen a quite unique approach to optimize for power
consumption. Quicklogic is processing sensor data through a
combination of programmable logic (i.e. FPGA), low-level software,
state machines and dedicated logic
• Quicklogic has adopted a very aggressive approach to optimizing
power and performance, by implementing functions that are not
likely to change into dedicated logic
• Quicklogic recently released 2nd generation sensor hubs with new
features, including a pedometer function (that can determine if the
user is walking, jogging, or running), barcode reader integration and
pulse-width modulation (PWM) for dimming displays
• All sensor algorithm processing are performed by the proprietary
Flexible Fusion Engine (FFE), which is capable of high-speed
processing of multi-axis sensor data as well as arithmetic operations
Key Team Members
• Tim Saxe, CTO
• Frank Shermansky, Product Management
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Quicklogic is developing a range of strategic partnerships;
from suppliers to customers, and for value-added solutions
• Quicklogic has announced partnerships with a
range of companies in pursuit of providing leading
edge sensor hub solutions with the lowest power
consumption
• Major strategic partnerships:
– Partnered with Globalfoundries to develop
current leakage reduction techniques for IC
fabrication
– Partnered with Peel to integrate IR technology
in sensor hubs for TV remote controls
– Partnered with sensor algorithms companies,
such as Sensory to provide always-on voice
recognition
– Partnered with Nordic Semiconductor to add
Bluetooth Smart functionality to evaluation kits
and as total customer solutions
– Partnered with Water World, a China based
tablet design house for design-ins
Images by Quicklogic, Peel, Nordic Semiconductor, Globalfoundries and Sensory
Sources: “QuickLogic Partners With Peel to Embed Its Proprietary SmartIR(TM) Technology Into Sensor Hub Solutions”, Quicklogic Website, 2014, “QuickLogic and GLOBALFOUNDRIES
Collaborate to Deliver Next-Generation Sensor Hub for Smartphones and Wearables”, Globalfoundries Website, 2014, “:QuickLogic and Sensory Partner to Provide Always-Listening,
Deeply Embedded Voice Recognition at Ultra-Low Power”, Quicklogic Website, 2015
Sensor Algorithm Partners
In July 2015, Quicklogic announced a partnership with
Sensory to provide embedded voice recognition at
“ultra low power”. Sensory has solutions for always-on
listening with voice trigger that allows smartphones
and other devices to be woken up by speech (e.g.
Apple’s “Hey Siri”). The voice trigger is reportedly
consuming 350uA. The solution also supports voice
recognition without the need for cloud connection.
Other Partners
Quicklogic has partnered with technology partners to
provide value-added features for their sensor hubs and
demo kits, manufacturing, design-ins etc.
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Images from Poppy Project and GarageLabs
Source: “The New Arduino 101”, GarageLab, October 2015
The Arduino 101 includes a 32Mhz ARC DSP sensor hub, onboard motion sensors (3D
accelerometer and 3D gyroscope) and BLE connectivity, which is ideal for small robotic projects
and flight control applications for drones
Sensor hubs for the maker community and rapid prototyping
are enabling new applications and driving innovation
Arduino 101 Development Board
Arduino 101 runs off an Intel
Curie module with two cores,
an x86 (Quark) and a 32MHz
sensor hub
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The use of sensors and sensor hubs becomes much more
powerful with the addition of connectivity and cloud services
Image from Mouser Electronics
Source: “The Role of Sensor Fusion in the Internet of Things”, Mouser Electronics, 2015
Computation intensive applications, such as gesture recognition and machine learning, are
not always feasible to do locally on smart devices. With a connectivity layer and a gateway
to the cloud, data can be processed remotely and the results fed back to the smart device.
A good example is voice using low latency, limited vocabulary on the device and anything
complex is being done in the cloud
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Recent Sensor Hub Developments
From September 2015 and last updated July 2016 (7/15)
Article Title Summary Reference
“CES: ASIC Enables Location
Services”
PNI Sensor has developed an application specific integrated circuit (ASIC) for consumer
services. The SENtrace solution enables the user to track locations within one meter per 100
meter and enable functions such as locating lost children and advanced fitness activity
tracking. Worth noting is that SENtrace knows when its dead-reckoning algorithms are
diverging and can alert the user about loss in performance and associated confidence level.
EE Times, January 2016
“Mitten impossible: Kiwis
nail VR glove”
Kiwi Innovations, a New Zealand based product research and development firm, is developing
a smart glove with embedded sensors for “playing” virtual instruments. A sensor hub is
mounted on the back of the user’s hand and captures motion sensor data to recreate the 3D
movements and shape of the hand.
NZ Herald, January 2015
“How Large Will Apple Inc.
Make Its A10 Chip?”
Apple will be using TSMC’s 16-nanometer process for the upcoming A10 application
processors, which is expected to replace the A9 chip in flagship products like the iPhone 7. It
is expected that the A10 will include a third CPU core, possibly an eight-cluster graphics
processor and an integrated sensor hub similar to the A9.
The Motley Fool, January 2016
”Led by iPhone 6S, Sensor
Hubs Market is Growing
Fast, IHS Says”
The overall sensor hub market will exceed 1B units in 2015 and increase to 2B in 2018. The
sensor hub market has changed a lot over last two years with Apple moving from discrete
MCUs to integrated application processor solution. This is a clear signal that this approach has
reached maturity.
IHS, January 2016
“QuickLogic, PixelWorks,
MaxLinear CES Picks at Roth”
Quicklogic announced a total of nine customer engagements for the S2 and EOS S3 sensor
hub platforms targeted for tablets, smartphones and wearables. Quicklogic is expecting that
revenues will pick up in Q2, 2016 and reported great momentum in the sensor hub markets
for chips, software and algorithms for smartphone and fitness applications
Barron’s, January 2016
“Key Things to Consider
When Designing Sensor
Hubs”
System design is almost always about tradeoffs, yet sensor hubs are tasked with better
performance at lower power consumption levels. There are several things to consider when
designing sensor hubs: MCU integration, sensor testing and target application(s).
ARM Community, January 2016
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About Us
For more information, please email us at info@memsjournal.com
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About MEMS Journal, Inc.
• MEMS Journal was founded in 2003
• 35 full-time and part-time staff, headquartered in Southfield, Michigan
• Largest MEMS publication worldwide, with 34,800+ subscribers, growing quickly
• Published over 9,800 stories, interviews, and articles and have reviewed more than 26,000
patents and patent applications
• Main focus is on MEMS and sensors technologies
• Services include:
– Strategic planning (focus and positioning, marketplace perception, competitive analysis,
roadmap development)
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Market intelligence services
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Market intelligence services
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Some of our other market research reports
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Some of our recent conferences and workshops
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