A method for activity recognition partially resilient on mobile device orientation

CEUR Workshop Proceedings

Volumn 1075, Issue , 2013, Pages 15-20

  Jajac, Nikola ^a   Predic, Bratislav ^a   Stojanovic, Dragan ^a  

^a UNIVERSITY OF NI   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; INFORMATION MANAGEMENT; MOBILE COMPUTING; MOBILE DEVICES; PATTERN RECOGNITION; TELEPHONE SETS;

ACCELEROMETER DATA; ACTIVITY RECOGNITION; ARBITRARY ANGLES; CO-ORDINATE SYSTEM; HIGH-ACCURACY; MULTIPLE ORIENTATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 84924404826     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. J. Lester, T. Choudhury, G. Booriello. A Practical Approach to Recognizing Physical Activities. Proceedings of the 4th International Conference on Pervasive Computing, 2006, pp. 1-16.
2. L. Bao, S. S. Intille. Activity recognition from user-annotated acceleration data. Proceceedings of the 2nd International Conference on Pervasive Computing, 2004, pp. 1-17.
3. N. Ravi, N. Dandekar, P. Mysore, M. L. Littman. Activity recognition from accelerometer data. Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence (IAAI-05), 2005, pp. 1541-1546.
4. J. R. Kwapisz, G. M. Weiss, S. A. Moore. Activity Recognition using Cell Phone Accelerometers. ACM SIGKDD Explorations Newsletter, 2010, vol. 12, issue 2, pp. 74-82.
5. L. Sun, D. Zhang, B. Li, B. Guo, S. Li. Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations. Proceedings of the 7th International Conference on Ubiquitous Intelligence and Computing, 2010, pp. 548-562.
6. S. Thiemjarus. A Device-Orientation Independent Method for Activity Recognition. International Conference on Body Sensor Networks, 2010, pp. 19-23.
7. I. H. Witte, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed. Morgan Kaufmann, 2011