The mobile sensing platform: An embedded activity recognition system

IEEE Pervasive Computing

Volumn 7, Issue 2, 2008, Pages 32-41

  Choudhury, Tanzeem ^a   Borriello, Gaetano ^b   Consolvo, Sunny ^a   Haehnel, Dirk ^c   Harrison, Beverly ^a   Hemingway, Bruce ^b   Hightower, Jeffrey ^a   Klasnja, Predrag ^b   Koscher, Karl ^b   LaMarca, Anthony ^a   Landay, James A ^b   LeGrand, Louis ^a   Lester, Jonathan ^b   Rahimi, Ali ^a   Rea, Adam ^a   Wyatt, Danny ^b  

^a INTEL CORPORATION   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

Activity recognition; Embedded systems; Machine learning; Wearable computers

Indexed keywords

ACCELEROMETERS; BLUETOOTH; INTERNET PROTOCOLS; MICROPHONES; OPTICAL SENSORS; UBIQUITOUS COMPUTING;

ACTIVITY RECOGNITION; FEATURE PROCESSING; MOBILE SENSING PLATFORM (MSP);

EMBEDDED SYSTEMS;

EID: 42549108326     PISSN: 15361268     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPRV.2008.39     Document Type: Article

References (15)

1. L. Bao and S. Intille, "Activity Recognition from User-Annotated Acceleration Data," Proc. 2nd Int'l Conf. Pervasive Computing (Pervasive 04), LNCS 3001, Springer, 2004, pp. 1-17.
2. N. Kern, B. Schiele, and A. Schmidt, "Multi-sensor Activity Context Detection for Wearable Computing," Proc. 1st European Symp. Ambient Intelligence (EUSAI 03), LNCS 2875, Springer, 2003, pp. 220-232.
3. A. Schmidt et al., "Advanced Interaction in Context," Proc. 1st Int'l Symp. Handheld and Ubiquitous Computing (HUC 99), LNCS 1707, Springer, 1999, pp. 89-101.
4. U. Maurer et al., "Location and Activity Recognition Using eWatch: A Wearable Sensor Platform," Ambient Intelligence in Every Day Life, LNCS 3864, Springer, 2006, pp. 86-100.
5. J. Lester, T. Choudhury, and G. Bordello, "A Practical Approach to Recognizing Physical Activity," Proc. 4th Int'l Conf. Pervasive Computing (Pervasive 06), LNCS 3968, Springer, 2006, pp. 1-16.
6. P. Lukowicz et al., "WearNET: A Distributed Multi-sensor System for Context Aware Wearables," Proc. 4th Int'l Conf. Ubiquitous Computing (Ubicomp 02), LNCS 2498, Springer, 2002, pp. 361-370.
7. S. Park et al., "Design of a Wearable Sensor Badge for Smart Kindergarten," Proc. 6th Int'l Symp. Wearable Computers (ISWC 02), IEEE CS Press, 2002, pp. 231-238.
8. L. Liao et al., "Training Conditional Random Fields Using Virtual Evidence Boosting," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI 07), 2007; www.ijcai. org/papers07/Papers/IJCAI07-407.pdf.
9. M. Mahdaviani and T. Choudhury, "Fast and Scalable Training of Semi-supervised Conditional Random Fields with Application to Activity Recognition," Proc. Neural Information Processing Systems (NIPS 07), 2007; http://books.nips.cc/papers/files/nips20/NIPS2007_0863. pdf.
10. DT. Wyatt, T. Choudhury, and H. Kautz, "Capturing Spontaneous Conversation and Social Dynamics: A Privacy-Sensitive Data Collection Effort," Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP 07), IEEE Press, 2007, pp. IV-213-IV-216.
11. L. Liao, D. Fox, and H. Kautz, "Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields," Int'l J. Robotics Research, vol. 26, no. 1, 2007, pp. 119-134.
12. R.E. Schapire, "A Brief Introduction to Boosting," Proc. 16th Int'l Joint Conf. Artificial Intelligence (IJCAI 99), Morgan Kaufmann, 1999, pp. 1401-1406.
13. A. Krause et al., "Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing," Proc. 7th IEEE Int'l Symp. Wearable Computers (ISWC 03), IEEE CS Press, 2003, pp. 88-97.
14. S. Consolvo et al., "Activity Sensing in the Wild: A Field Trial of UbiFit Garden," to be published in Proc. ACM SiGCHI Conf. Human Factors and Computing Systems (CHI 08), ACM Press, 2008.
15. J.F. Sallis and B.E. Saelens, "Assessment of Physical Activity by Self-Report: Status, Limitations, and Future Directions," Research Quarterly for Exercise and Sport, vol. 71, no. 2, 2000, p. 1-14.