Balancing precision and battery drain in activity recognition on mobile phone

Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS

Volumn , Issue , 2012, Pages 712-713

  Viet, Vo Quang ^a   Thang, Hoang Minh ^a   Choi, Deokjai ^a  

^a Chonnam National University   (South Korea)

Author keywords

Battery drain; DTW method; Mobile AR; SVM

Indexed keywords

ACCURACY RATE; ACTIVITY RECOGNITION; BATTERY DRAIN; DTW METHOD; DYNAMIC TIME WARPING; EXTRACTING FEATURES; FREQUENCY DOMAINS; MOBILE AR; REAL TIME; SVM; TIME DOMAIN; TIME DOMAIN FEATURES; TIME FEATURES; WEAK POINTS;

CELLULAR TELEPHONES; COMPUTER SYSTEMS; ELECTRIC POWER UTILIZATION; FLUIDIZED BED COMBUSTION; HAND HELD COMPUTERS; MOBILE PHONES; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

TIME DOMAIN ANALYSIS;

EID: 84874100255     PISSN: 15219097     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPADS.2012.108     Document Type: Conference Paper

References (3)

1. Yang, X., and Lianwen, J. "A Naturalistic 3D Acceleration-based Activity Dataset & Benchmark Evaluations", in Proceeding of IEEE International Conference on Systems, Man, and Cybernetics, 2010.
2. M. Khan, R. O. Smith, "A Feature Extraction Method for Real-time Human Activity Recognition on Cell Phones", in Proc. of International Symposium on Quality of Life Technology, 2011.
3. J. Kwapisz, G. Weiss, S. A. Moore, "Activity Recogntion using Cell Phone Accelerometer", in Proceeding of ACM SIGKDD Conference of Knowledge Discovery and Data Mining, 2010, pp. 74-82.