FEMO: A platform for free-weight exercise monitoring with RFIDs

SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2015, Pages 141-154

  Ding, Han ^a   Shangguan, Longfei ^b   Yang, Zheng ^c   Han, Jinsong ^a   Zhou, Zimu ^b   Yang, Panlong ^d   Xi, Wei ^a   Zhao, Jizhong ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^c TSINGHUA UNIVERSITY   (China)

^d PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Activity recognition and assessment; RFID

Indexed keywords

DOPPLER EFFECT; EMBEDDED SYSTEMS; PATTERN RECOGNITION; RADIO FREQUENCY IDENTIFICATION (RFID);

ACTIVITY RECOGNITION; ACTIVITY SENSING; BACKSCATTER SIGNALS; MONITORING SERVICES; MONITORING SYSTEM; NATURAL MOVEMENTS; PASSIVE RFID TAGS; SPATIAL-TEMPORAL CORRELATION;

WEARABLE SENSORS;

EID: 84962834096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2809695.2809708     Document Type: Conference Paper

References (43)

1. Are Personal Trainers Worth the Price. http://www.telegraph.co.uk/health/dietandfitness.html.
2. Centers for Disease Control and Prevention. Physical activity recommendations for adults. cdc.gov/physicalactivity/everyone/guidelines/adults.html.
3. Learn How to Slim and Strengthen Your Midsection with the Best Core Exercises. http://www.askthetrainer.com/best-core-exercises/.
4. M. Azizyan, I. Constandache, and R. Roy Choudhury. SurroundSense: Mobile Phone Localization via Ambience Fingerprinting. In Proceedings of ACM MobiSys, 2009.
5. I. Bilik, J. Tabrikian, and A. Cohen. GMM-based Target Classification for Ground Surveillance Doppler Radar. IEEE Transactions on Aerospace and Electronic Systems, 42(1):267-278, 2006.
6. Dumbbells, Barbells, and Kettlebells. http://www.bodybuilding.com/fun/grapgym9.htm.
7. A Simple Protocol for Testing Your Work Capacity. http://breakingmuscle.com/strength-conditioning/a-simple-protocol-for-testing-your-work-capaci
8. A. Bulling, U. Blanke, and B. Schiele. A Tutorial on Human Activity Recognition using Body-worn Inertial Sensors. ACM Computing Surveys, 46(3):33, 2014.
9. K.-H. Chang, M. Y. Chen, and J. Canny. Tracking Free-weight Exercises. In Proceedings of A CM UbiComp, 2007.
10. S. Consolvo, D. W. McDonald, T. Toscos, M. Y. Chen, J. Froehlich, B. Harrison, P. Klasnja, A. LaMarca, L. LeGrand, R. Libby, et al. Activity Sensing in the Wild: A Field Trial of Ubifit Garden. In Proceedings of A CM CHI, 2008.
11. S. B. Eisenman, E. Miluzzo, N. D. Lane, R. A. Peterson, G.-S. Ahn, and A. T. Campbell. Bikenet: A mobile sensing system for cyclist experience mapping. A CM Transactions on Sensor Networks, 6(1):6, 2009.
12. Fitbit. https://www.fitbit.com/.
13. W. Gu, Z. Yang, L. Shangguan, W. Sun, K. Jin, and Y. Liu. Intelligent Sleep Stage Mining Service with Smartphones. In Proceedings of ACM UbiComp, 2014.
14. N. Y. Hammerla, T. Plotz, P. Andras, and P. Olivier. Assessing Motor Performance with PCA. In Proceedings of IWFAR, 2011.
15. T. Hao, G. Xing, and G. Zhou. iSleep: Unobtrusive Sleep Quality Monitoring using Smartphones. In Proceedings of ACM MobiSys, 2013.
16. iOS 8 HealthKit. http://www.apple.com/ios/whats-new/health/.
17. R. E. Kalman. A new Approach to Linear Filtering and Prediction Problems. Journal of Fluids Engineering, 82(1):35-45, 1960.
18. C. Kennedy-Armbruster and M. Yoke. Methods of Group Exercise Instruction. Human Kinetics, 2014.
19. Y. Kim and H. Ling. Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine. IEEE Transactions on Geoscience and Remote Sensing, 47(5):1328-1337, 2009.
20. J. Kruger, H. M. Blanck, and C. Gillespie. Dietary and physical activity behaviors among adults successful at weight loss maintenance. International Journal of Behavioral Nutrition and Physical Activity, 3(1):17, 2006.
21. Y. Lee, C. Min, C. Hwang, J. Lee, I. Hwang, Y. Ju, C. Yoo, M. Moon, U. Lee, and J. Song. Sociophone: Everyday Face-to-face Interaction Monitoring Platform using Multi-phone Sensor Fusion. In Proceeding of ACM MobiSys, 2013.
22. H. Li, Y. Can, and P. S. Alanson. IDSense: A Human Object Interaction Detection System Based on Passive UHF RFID. In Proceedings of ACM CHI, 2015.
23. Z. Li, W. Chen, C. Li, M. Li, X.-Y. Li, and Y. Liu. FLIGHT: Clock Calibration Using Fluorescent Lighting. In Proceedings of ACM MobiCom, 2012.
24. H. Lu, W. Pan, N. D. Lane, T. Choudhury, and A. T. Campbell. SoundSense: Scalable Sound Sensing for People-centric Applications on Mobile Phones. In Proceedings of ACM MobiSys, 2009.
25. H. Lu, J. Yang, Z. Liu, N. D. Lane, T. Choudhury, and A. T. Campbell. The Jigsaw Continuous Sensing Engine for Mobile Phone Applications. In Proceedings of ACM SenSys, 2010.
26. S. Masatoshi and M. Kurato. Activity Recognition Using Radio Doppler Effect for Human Monitoring Service. Journal of Information Processing, 20(2):396-405, 2012.
27. P. Melgarejo, X. Zhang, P. Ramanathan, and D. Chu. Leveraging Directional Antenna Capabilities for Fine-grained Gesture Recognition. In Proceedings of ACM UbiComp, 2014.
28. D. Morris, T. S. Saponas, A. Guillory, and I. Kelner. RecoFit: Using a Wearable Sensor to Find, Recognize, and Count Repetitive Exercises. In Proceedings of ACM CHI, 2014.
29. A. Parate, M.-C. Chiu, C. Chadowitz, D. Ganesan, and E. Kalogerakis. RisQ: Recognizing Smoking Gestures with Inertial Sensors on A Wristband. In Proceedings of A CM MobiSys, 2014.
30. Q. Pu, S. Gupta, S. Gollakota, and S. Patel. Whole-home Gesture Recognition using Wireless Signals. In Proceedings of ACM MobiCom, 2013.
31. T. Rahman, A. T. Adams, M. Zhang, E. Cherry, B. Zhou, H. Peng, and T. Choudhury. BodyBeat: A Mobile System for Sensing Non-speech Body Sounds. In Proceedings of A CM MobiSys, 2014.
32. L. G. Roberts. ALOHA Packet System with and Without Slots and Capture. ACM SIGCOMM Computer Communnications Review, 5(2):28-42, 1975.
33. Y. Rubner, C. Tomasi, and L. J. Guibas. The Earth Mover's Distance as a Metric for Image Retrieval. International Journal of Computer Vision, 40(2):99-121, 2000.
34. R. A. L. S. Kullback. On Information and Sufficiency. Annals of Mathematical Statistics, 1951.
35. S. Salvador and P. Chan. Toward Accurate Dynamic Time Warping in Linear Time and Space. Intelligent Data Analysis, 11(5):561-580, 2007.
36. L. Shangguan, Z. Yang, Z. Zhou, X. Zheng, C. Wu, and Y. Liu. CrossNavi: Enabling Real-time Crossroad Navigation for the Blind with Commodity Phones. In Proceedings of ACM UbiComp, 2014.
37. A. Stove and S. Sykes. A Doppler-based Automatic Target Classifier for a Battlefield Surveillance Radar. In Proceedings of IEEE RADAR, 2002.
38. D. A. Tesch, E. L. Berz, and F. P. Hessel. RFID Indoor Localization based on Doppler Effect. In Proceedings of IEEE ISQED, 2015.
39. How to measure exercise intensity. http://www.weightwatchers.com/util/art/index-art.aspx?tabnum=1&art-id=20971.
40. J. Wang, D. Vasisht, and D. Katabi. RF-IDraw: Virtual Touch Screen in the Air Using RF Signals. In Proceedings of ACM SIGCOMM, 2014.
41. Y. Wang, J. Liu, Y. Chen, M. Gruteser, J. Yang, and H. Liu. E-eyes: Device-free Location-oriented Activity Identification using Fine-grained WiFi Signatures. In Proceedings of ACM MobiCom, 2014.
42. C. Xu, S. Li, G. Liu, Y. Zhang, E. Miluzzo, Y.-F. Chen, J. Li, and B. Firner. Crowd++: Unsupervised Speaker Count with Smartphones. In Proceedings of ACM UbiComp, 2013.
43. A. Zhan, M. Chang, Y. Chen, and A. Terzis. Accurate caloric expenditure of bicyclists using cellphones. In Proceedings of ACM SenSys, 2012.