contact free sensing for collective activity recognition
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Contact-free Sensing for collective Activity Recognition Stephan Sigg Georg-August-University Goettingen, Computer Networks Shonan meeting on Challenges in real-time AR 07.09.2015 2 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg


  1. Contact-free Sensing for collective Activity Recognition Stephan Sigg Georg-August-University Goettingen, Computer Networks Shonan meeting on Challenges in real-time AR 07.09.2015

  2. 2 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  3. 2 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  4. 2 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  5. RF-based device-free activity recognition g n g Crawling n i i d k n a l t a S W empty L y i n g 3 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  6. RF-based device-free activity recognition g n g Crawling n i i d k n a l t a S W empty L y i n g 3 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  7. Recent related work . Whole-Home Gesture Recognition Using Wireless Signals, Q. Pu, S. Gupta, S. Gollakota, S. Patel, Mobicom’13 See Through Walls with Wi-Fi!, F Adib, D. Katabi, SIGCOMM’13 4 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  8. Situation and gestures from passive RSSI-based DFAR 10cm 10cm Away Hold over Open/close Take up Towards Swipe Swipe Swipe Swipe Wipe No right bottom top left gesture 5 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  9. Situation and gestures from passive RSSI-based DFAR 10cm 10cm Away Hold over Open/close Take up Towards Swipe Swipe Swipe Swipe Wipe No right bottom top left gesture 5 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  10. Which sample rate can we expect? University (ETH) Train station P a c k e t s / s e c P a c k e t s / s e c ground 3 r d fl . 1 10.45 2 9.18 1 34.06 14.88 3 9.01 2 0.61 5.02 channel 4 21.91 3 4.45 0.19 channel 4 0.10 5 23.70 0.04 6 22.31 5 53.97 192.29 7 21.34 6 0.14 0.04 8 21.58 7 0.28 0.03 0.55 8 0.11 0.07 9 9 10 0.62 26.46 2.88 11 14.51 10 0.06 0.09 11 0.05 0.02 Café in center Dormitory P a c k e t s / s e c P a c k e t s / s e c 1 15.29 2 8.86 1 10.28 3 11.06 2 10.03 channel 4 1.41 3 12.13 channel 5 2.15 4 9.92 6 10.99 5 9.30 7 4.45 6 1.77 8 1.23 7 0.09 9 11.09 8 0.19 10 10.79 9 6.92 11 23.30 10 0.47 11 0.36 Suburban fl at P a c k e t s / s e c 1 0.85 2 0.35 3 0.32 channel 4 0.20 5 0.85 6 3.10 7 2.59 8 11.85 9 4.46 10 2.05 6 / 8 11 9.61 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  11. Sensing and recognition 7 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

  12. 8 / 8 Shonan meeting 066 - 07.09.2015 Stephan Sigg Contact-free Sensing for collective Activity Recognition

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