Abstract | ||
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In this paper, we propose an experimental implementation of activity recognition feature on the activity information gathering system named ALKAN. In this experiment, we develop activity recognition algorithm using machine learning on server system, and port it onto client system on mobile phone. We also confirmed the feasibility of real-time activity recognition with actual mobile phone. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/INCoS.2011.103 | INCoS |
Keywords | Field | DocType |
real-time activity recognition,mobile phones,client system,activity information gathering system,mobile phone,experimental implementation,actual mobile phone,activity recognition feature,activity recognition,server system,activity recognition algorithm,accelerometers,real time systems,machine learning,accelerometer,real time,learning artificial intelligence,servers,mobile computing | Mobile computing,Server system,Activity recognition,Accelerometer,Mobile station,Computer science,Server,Real-time computing,GSM services,Mobile phone | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Go Hirakawa | 1 | 12 | 2.62 |
Thin Thin Nwe | 2 | 0 | 0.34 |
Yuichi Hattori | 3 | 36 | 7.57 |
Sozo Inoue | 4 | 176 | 58.17 |