Multi-sensor physical activity recognition in free-living

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2014, Pages 431-439

  Ellis, Katherine ^a   Godbole, Suneeta ^a   Kerr, Jacqueline ^a   Lanckriet, Gert ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Accelerometer; Activity recognition; Codebook; GPS; Linear dynamical system

Indexed keywords

ACCELEROMETERS; DECISION TREES; DYNAMICAL SYSTEMS; GLOBAL POSITIONING SYSTEM; LINEAR CONTROL SYSTEMS; PATTERN RECOGNITION; UBIQUITOUS COMPUTING;

ACTIVITY RECOGNITION; ASSISTIVE TECHNOLOGY; CODEBOOKS; CONTEXT-AWARE RECOMMENDATION SYSTEMS; LINEAR DYNAMICAL SYSTEMS; MULTI-LEVEL CLASSIFICATIONS; PHYSICAL ACTIVITY MONITORING; RANDOM FOREST CLASSIFIER;

HEALTH;

EID: 84908701810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2638728.2641673     Document Type: Conference Paper

References (10)

1. Bao, L., and Intille, S. S. Activity recognition from user-annotated acceleration data. In Pervasive computing. Springer, 2004, 1-17.
2. Chan, A. B., and Vasconcelos, N. Modeling, clustering, and segmenting video with mixtures of dynamic textures. Pattern Analysis and Machine Intelligence, IEEE Transactions on 30, 5 (2008), 909-926.
3. Coviello, E., Chan, A. B., and Lanckriet, G. Time series models for semantic music annotation. Audio, Speech, and Language Processing, IEEE Transactions on 19, 5 (2011), 1343-1359.
4. Doretto, G., Chiuso, A., Wu, Y. N., and Soatto, S. Dynamic textures. Intl. J. Computer Vision 51, 2 (2003), 91-109.
5. Ellis, K., Coviello, E., Chan, A., and Lanckriet, G. A bag of systems representation for music auto-tagging.
6. Ellis, K., Godbole, S., Chen, J., Marshall, S., Lanckriet, G., and Kerr, J. Physical activity recognition in free-living from body-worn sensors. In Proceedings of the 4th International SenseCam & Pervasive Imaging Conference, ACM (2013), 88-89.
7. Ermes, M., Parkka, J., Mantyjarvi, J., and Korhonen, I. Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. Information Technology in Biomedicine, IEEE Transactions on 12, 1 (2008), 20-26.
8. Kellokumpu, V., Zhao, G., and Pietikäinen, M. Human activity recognition using a dynamic texture based method. In BMVC (2008), 1-10.
9. Staudenmayer, J., Pober, D., Crouter, S., Bassett, D., and Freedson, P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. Journal of Applied Physiology 107, 4 (2009), 1300-1307.
10. Zappella, L., Béjar, B., Hager, G., and Vidal, R. Surgical gesture classification from video and kinematic data. Medical image analysis 17, 7 (2013), 732-745.