Estimating Energy Expenditure of Mobile Device Users Using HMM

摘要：

In this paper, we apply HMM to estimate amount of energy expenditure of mobile device users using a 3-axes acceleration sensor. HMM is used to recognize users contexts from a time-series of acceleration data obtained by SunSPOT attached to the user. The energy expenditure can be calculated based on MET values corresponding to the contexts. In the preliminary experiments, we tried to distinguish between two contexts of running and walking. We observed acceleration data for 20 minutes with 100Hz for each context. As a result, HMM could recognize more than 90％ cases correctly.

关键词： HMM Mobile Device Acceleration Context MET Energy Expenditure

作者: Yancong Su Hajime Murao

作者单位: Graduate School of Intercultural Studies Kobe University Kobe, Japan Graduate School of Intercultural Studies Kobe University Kobe,Japan

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 493-496

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）