gesture recognition using a multi sensor approach
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GESTURE RECOGNITION: USING A MULTI SENSOR APPROACH SHALINI GUPTA, - PowerPoint PPT Presentation

GESTURE RECOGNITION: USING A MULTI SENSOR APPROACH SHALINI GUPTA, PAVLO MOLCHANOV, KIHWAN KIM, KARI PULLI, JAN KAUTZ NVIDIA RESEARCH DRIVER DISTRACTION GESTURE INTERFACE (http://www.softkinetic.com) DAY DAY NIGHT NO SUNLIGHT NO SUNLIGHT


  1. GESTURE RECOGNITION: USING A MULTI SENSOR APPROACH SHALINI GUPTA, PAVLO MOLCHANOV, KIHWAN KIM, KARI PULLI, JAN KAUTZ NVIDIA RESEARCH

  2. DRIVER DISTRACTION

  3. GESTURE INTERFACE (http://www.softkinetic.com)

  4. DAY

  5. DAY NIGHT

  6. NO SUNLIGHT

  7. NO SUNLIGHT SUNLIGHT

  8. MULTI-SENSOR SOLUTION COLOR + DEPTH RADAR sensors

  9. MULTI-SENSOR SOLUTION COLOR + DEPTH RADAR gesture UI sensors

  10. 3.2% INCREASED ACCURACY +1.5m/s 0 m/s -1.5m/s 3D shape color velocity

  11. 16X POWER EFFICIENCY velocity power v 0.15W t

  12. 16X POWER EFFICIENCY velocity power v 2.5 W v T 0.15W gesture gesture t

  13. SHORT RANGE FMCW RADAR radar prototype

  14. SHORT RANGE FMCW RADAR y +1.5m/s 0 m/s x v radar prototype 4D vector z -1.5m/s

  15. POSITION RESULTS

  16. VELOCITY RESULTS +1.5m/s 0 m/s -1.5m/s

  17. GESTURE NETWORK fully connected NN logistic regression 60 3D convolutional frames layer subsampling layer Trained on GPU

  18. 10 GESTURES PALM up down left right SHAKE SWIPE right left ROTATION CALL clockwise counter-clockwise

  19. INDOOR CAR SIMULATOR

  20. OUTDOOR CAR

  21. ERROR RATE 39.90% 10.90% 9.10% C D R D+C R+D R+C R+D+C D – depth C – color R - radar

  22. ERROR RATE 39.90% 10.90% 9.10% 7.90% 8.30% 7.40% C D R D+C R+D R+C R+D+C D – depth C – color R - radar

  23. ERROR RATE 39.90% 10.90% 9.10% 7.90% 8.30% 7.40% 5.90% C D R D+C R+D R+C R+D+C D – depth C – color R - radar

  24. ERROR RATE 20.90% D+R (CNN) D+R+C (CNN) 9.70% 6.70% D+C (HOG) 3.00% Night Evening Day (shadow) Day (sunlight) D – depth C – color R - radar

  25. ERROR RATE 20.90% D+R (CNN) D+R+C (CNN) 9.70% 6.70% 6.70% D+C (HOG) 8.30% 7.50% 3.00% 1.50% Night Evening Day (shadow) Day (sunlight) D – depth C – color R - radar

  26. ERROR RATE 22.20% 20.90% D+R (CNN) 13.00% D+R+C (CNN) 6.70% D+C (HOG*) 8.30% 7.50% 2.45% 1.50% Night Evening Day (shadow) Day (sunlight) D – depth C – color * Ohn-Bar and Trivedi, IEEE Trans. on R - radar Intelligent Transportation Systems , 2014.

  27. DEMO 52ms on Quadro 6000

  28. CONCLUSION COLOR + DEPTH RADAR 1 GESTURE UI 2 1 Multi- sensor System for Driver’s Hand -Gesture Recognition , IEEE Automatic Face and Gesture Recognition, May 2015. 2 Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing , IEEE International Radar Conference, May 2015.

  29. THANK YOU SHALINIG@NVIDIA.COM

  30. QUESTIONS?

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