Social networking (Web 2.0) changed the way of interaction and communication of humans-to-humans, companies-to-customers, universities-to-students and state-to-citizens. The movement from static web pages (Web 1.0) to social networking and the rapid growth of smart devices created a new need for more complex data-on-demand across multiple platforms and devices. Cloud computing, miniaturization of sensors and low energy wireless technologies offered adequate possibilities to measure and understand environmental, health, industrial and other indicators, delivered in smart devices or in the web. The skyrocketing proliferation of the bidirectional communication between sensors and smart devices created a new series of products bringing us to the era of Internet-of-Things (IoT). The ubiquitous computing (presumed as Web 3.0) states that computing will appear in any device and in any location. Smart Wearable Systems (SWS) constitute the latest effort of academia and industry to toward this direction, aiming to enhance the communication and the velocity between IoT applications, smart devices (smartphones, tablets & smart TVs) and social networks. In this paper an analysis over social aspects of SWS is performed. Recent reports show that IoT market will be bigger than the total market of smart devices and PCs combined, enlarging the overall interest.
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The social aspect of Smart Wearable Systems in the era of Internet-of-Things
1. The social aspect of
Smart Wearable
Systems in the era of
Internet-of-Things
C. PETROPOULOS1, A. TALAVARI1, A. FOTOPOULOS2
1. B.SC., COMPUTER SYSTEMS ENGINEERING, TECHNOLOGICAL EDUCATION INSTITUTE OF PIRAEUS
2. M.SC., INFORMATION TECHNOLOGIES IN MEDICINE AND BIOLOGY, NATIONAL AND KAPODISTRIAN UNIVERSITY OF
ATHENS
2. Introduction
Efforts to research and develop smart wearable systems (SWS) have
been increasing in both academia and industry .
Elderly people have a greater level of disability due to age-related
diseases, a greater need for care and assistance, and are more
likely to be admitted to a hospital or nursing home.
Consumer wearables;smart glasses,smart watches, generally smart
devices that make people lives easier and use smartphones as a
mean to communicate.
3. The story so far..
Web 1.0
• One way
communication
• Mostly static
html pages
Web 2.0
• Two way
communication
• Data flow
between users
and website
• Example:Facebo
ok,Google+
Web 3.0
• Not only humans
but also
machines will
interact with
each other.
• Internet of Things
and machine to
machine
communications
4. New possibilities lead to new
products
Cloud Computing
Miniaturization of sensors
Low energy wireless
technologies
adequate possibilities to measure and understand
environmental, health, industrial and other indicators,
delivered in smart devices or in the web.
5. “The network formed by things/objects having identities, virtual
personalities operating in smart spaces using intelligent interfaces to
connect and communicate with the users, social and environmental
contexts.”
6. The elation of cloud computing
The worldwide cloud computing market will grow at a
36% compound annual growth rate (CAGR) through
2016, reaching a market size of $19.5B by 2016.
38% of enterprises surveyed break out cloud computing
budgets, while 60% include cloud-related spending as
part of their enterprise-wide IT budgets.
The median enterprise cloud computing budget is
$675,000 and the mean enterprise cloud computing
budget is $8,234,438. The study found the largest
enterprise cloud computing budget at $125M.
Enterprise Cloud Computing Poised for Explosive Growth
During Next Two Years, TheInfoPro,2013
8. The Miniaturization of Sensors
Recent technological advances in integration and miniaturization
of sensors, embedded microcontrollers, and radio interfaces on a
single chip and in wireless networks have led to a new generation for
Internet of Things combined with Healthcare.
Smart wearable systems: Current status and future
challenges, Marie Chan,2012
14. Wearable devices, social aspects
and relations
Wireless wearable devices that connect an elderly person to formal
or informal caregivers or a call centre, have psychological effects
on patients.
Informational privacy is connected with the confidentiality of
patient data, which means that this aspect is going to take on
increasing importance in the future with the on-going growth of
data processing.
System efficiency, reliability, and unobtrusiveness: These are essential
for the widespread use of devices and technologies. Wearable
systems and devices must have efficient software and hardware
and be unobtrusive
[Research on social relations cognitive model of
mobile nodes in Internet of Things Jian An ,2013]
15. Wearable devices, social aspects
and relations
User needs and privacy: At times, there is tension between
assistance and autonomy, or privacy and independence that
characterizes the individual’s judgment in using telehealth
technology
Interoperability: As health care develops from an organization
centred via service-centred towards an individual-centred system,
information systems involved must be semantically interoperable,
process-related, decision-supportive, contextsensitive, user-oriented,
and trustworthy
Technological capabilities of wearable systems: They must meet
healthcare professionals and end-users requirements in disease
management and general remote Health Management.
[Research on social relations cognitive model of
mobile nodes in Internet of Things Jian An ,2013]
16. Risks
As more devices enter the realm of the IoT,
data attacks aimed at the diversity of new
Internet-connected endpoints will inevitably
become more common.
The Internet-connected devices installed on various objects, such as
cars and home appliances,can be used for unlawful surveillance
or intrusion into private life
Another threat that must be taken into
consideration is the data privacy risks
posed by those devices.
[The Internet of Things:do more devices mean
more risks?, Mark O’Neill,,2014]
17. Predictions
In 2018:
• 18 million wearable
devices
• 16 million IoT devices
• Exceeding tablets
and smartphones