Accelerometer-Based Decision Algorithm for Detecting Strenuous Exercises on Smartphone

Nan Zhang; Yong Gang Li; Yveline  Zhang

doi:10.4028/www.scientific.net/AMR.765-767.440

Paper Titles

Dynamics Simulation and Analysis of Planetary Reducer
p.422

Simulation Analysis on Interior Flow Field of Recoil Brake Based on Dynamic Mesh
p.427

Analysis and Simulation of Radar Clutter Using Spherically Invariant Random Processe
p.431

A Novel Proportional Fairness Scheduling for Subcarrier Allocation in OFDM Based Relaying Systems
p.436

Accelerometer-Based Decision Algorithm for Detecting Strenuous Exercises on Smartphone
p.440

A Fast Adaptive Transmit Power and Bit Allocation in OFDM System
p.444

A Method of Knowledge Integration of Agricultural for Biological Disaster Alarming
p.448

Study on UAV Path Planning Simulation
p.452

Finite Element Optimization of Electric Field Structure in Electrospinning
p.456

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Accelerometer-Based Decision Algorithm for...

Accelerometer-Based Decision Algorithm for Detecting Strenuous Exercises on Smartphone

Abstract:

A mathematical model is established in this paper with acceleration data collected by the smartphone-based three-axis gyroscope during standing, walking, falling over and running. The activity of smartphone carriers can be detected according to the data measured by the internal accelerometer within a given time period, which is capable of deciding whether the smartphone carrier is in strenuous exercises or emergency situation. It is also a reliable and practical solution to the identification of activities in the body area network (BAN). Experimental results demonstrate that the model is effective and reliable.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

440-443

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.440

Citation:

Cite this paper

Online since:

September 2013

Authors:

Nan Zhang, Yong Gang Li, Yveline Zhang

Keywords:

Activity Detection, Activity Monitoring, Activity Recognition, BAN, Smartphone Sensor, Strenuous Exercise Detection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Aziz O, Lo B, King R, et al. Pervasive body sensor network: An approach to monitoring the postoperative surgical patient [C]. Proc of the IEEE Int Workshop on Wearable and Implantable Body Sensor Networks(BSN'06). Washington: IEEE, 2006: 1-4.

DOI: 10.1109/bsn.2006.43

Google Scholar

[2] Pansiot J, Stoyanov D, Mcilwraith D, et al. Ambient and wearable sensor fusion for activity recognition in healthcare monitoring systems [C]. Proc of the Int Workshop on Wearable and Implantable Body Sensor Networks. Berlin: Springer, 2007: 208-212.

DOI: 10.1007/978-3-540-70994-7_36

Google Scholar

[3] Cui Li, Ju Hailing, Min Yong, etc. Overview of Wireless Sensor Networks[J]. Journal Of Computer Research And Development, 2005, 42(1): 163-174.

Google Scholar

[4] Xuan Yundong, Zhao Zhan, Fang Zhen, Du Lidong, Geng Daoqu, Shi Yaohong. A Wireless Body Sensor Network for the Elderly Health Monitoring[J]. Journal Of Computer Research And Development, 2011, 48(z2).

DOI: 10.1049/cp.2010.1040

Google Scholar

[5] Gong Jibing, Wang Rui, Cui Li. Research Advances and Challenges of Body Sensor Network (BSN)[J]. Journal Of Computer Research And Development, 2010, 47(5): 737-753.

Google Scholar

[6] Zhang Chunqing, Zou Weixia, Li Bin, Liu Yuegui. Research Progress on Medical Body Area Network[J]. Chinese Journal Of Medical Lnstrumentation, 2012, 36(2).

Google Scholar