Human activity recognition from accelerometer data using a wearable device

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6669 LNCS, Issue , 2011, Pages 289-296

  Casale, Pierluigi ^a,b   Pujol, Oriol ^a,b   Radeva, Petia ^a,b  

^a Barcelona Perception Computing Lab   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Pervasive Computing; Physical Activity Recognition; Wearable Computing

Indexed keywords

ACCELEROMETER DATA; ACTIVITY RECOGNITION; CLASSIFICATION ACCURACY; COMPUTATIONALLY EFFICIENT; CONTEXT-AWARE COMPUTING; HUMAN ACTIVITIES RECOGNITION; HUMAN ACTIVITY RECOGNITION; LARGER FIELDS; PHYSICAL ACTIVITY; RANDOM FOREST CLASSIFIER; WEARABLE COMPUTING; WEARABLE DEVICES; WEARABLE SYSTEMS;

ACCELEROMETERS; DECISION TREES; IMAGE ANALYSIS; PATTERN RECOGNITION; WEARABLE COMPUTERS; UBIQUITOUS COMPUTING; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

UBIQUITOUS COMPUTING; PATTERN RECOGNITION;

EID: 79959952700     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_36     Document Type: Conference Paper

References (10)

1. Ravi, N., Nikhil, D., Mysore, P., Littman, M.L.: Activity recognition from accelerometer data. In: IAAI, pp. 1541-1546 (2005)
2. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data, pp. 1-17. Springer, Heidelberg (2004)
3. Choudhury, T., Lamarca, A., Legr, L., Rahimi, A., Rea, A., Borriello, G., Hemingway, B., Koscher, K., Lester, J., Wyatt, D., Haehnel, D.: The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing 7, 32-41 (2008)
4. Lester, J., Choudhury, T., Borriello, G.: A practical approach to recognizing physical activities. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 1-16. Springer, Heidelberg (2006)
5. Mannini, A., Sabatini, A.M.: Machine Learning Methods for Classifying Human Physical Activities from on-body sensors. Sensors 10, 1154-1175 (2010)
6. Breiman, L.: Random Forests. Machine Learning 45(1), 5-32 (2001)
7. Krause, A., Siewiorek, D., Smailagic, A., Farrigdon, J.: Unsupervised, dynamic identification of Physiological and Activity Context in Wearable Computing. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870. Springer, Heidelberg (2003)
8. Huynh, T., Fritz, M., Schiele, B.: Discovery of Activity Patterns using Topic Models. In: UbiComp 2008, pp. 10-19 (2008)
9. Clarkson, B., Pentland, A.: Unsupervised Clustering of ambulatory audio and video. In: ICASSP 1999, pp. 3037-3040 (1999)
10. Casale, P., Pujol, O., Radeva, P.: Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds.) IbPRIA 2009. LNCS, vol. 5524, pp. 56-63. Springer, Heidelberg (2009)