The document discusses sensor-driven indoor positioning systems, emphasizing the importance of location in context-aware computing. It outlines various technologies and methods for indoor positioning, such as fingerprint positioning, triangulation, and inertial navigation, along with their benefits and drawbacks. Potential use cases include shopping centers, museums, emergency evacuation services, and context-aware applications.

1. @onlythoughtwork @drewenut

2. The city is indoors…but location matters! #bcs2: Sensor-driven indoor positioning

3. Motivation Location is the important information in Context Aware Computing. Augmented reality

4. Internet of things Today, location for outdoor environments is provided by the Global Positioning System (GPS).

5. However there is no appropriate solution for confined spaces yet.

6. But 20 million sensor powered handsets were sold in 2008.

7. And heavy passive RF-infrastructure in urban areas #bcs2: Sensor-driven indoor positioning

8. Todays device sensors RF Frequency Wireless LAN‏

9. ‏ GSM

10. Bluetooth

11. GPS

12. (RFID) Inertial Sensing Accelerometer

13. Electric Compass

14. Gyroscope Optical Camera (QR Codes) Quelle: market.android.com #bcs2: Sensor-driven indoor positioning

15. Positioning System Quelle: IEEE Communications Magazine Feb 2002, Indoor Geolocation Science and Technology #bcs2: Sensor-driven indoor positioning

16. Marker Based Positioning QR Codes

17. Scene analysis

18. Patterns on floors, walls…

19. Benefits High accuracy Drawbacks Static #bcs2: Sensor-driven indoor positioning

20. Fingerprint Positioning Collect all environmental RF information one can get: WLAN