Context Awareness of Human Motion States Using Accelerometer (original) (raw)

Abstract

The proposed context awareness system is composed of acceleration data acquisition part and fuzzy inference system that processes acquired data, distinguishes user motion states and recognizes emergency situations. Two-axial accelerometer embedded in SenseWear PRO2 Armband (BodyMedia) on the right upper arm collects input data containing the longitudinal acceleration average (LAA), the transverse acceleration average (TAA), the longitudinal acceleration-mean of absolute difference (L-MAD), and transverse acceleration mean of absolute difference (T-MAD). Fuzzy inference system is a tool imitating the human ability of decision making. In our system, the fuzzy inference system was used to distinguish the user motion states and to recognize emergency situations. In an experiment using eight subjects, the recognition rates of lying, sitting, walking and running were 98.9%, 98.9%, 99.7% and 99.9%, respectively. Recognition rate for lying after walking and lying after running was 100%.

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Acknowledgment

This study was supported by a grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, Republic of Korea (0405-ER01-0304-0001).

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Authors and Affiliations

  1. Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju, South Korea
    Tae Soo Lee
  2. Ubiquitous Biomedical System Development Center, College of Medicine, Chungbuk National University, Cheongju, South Korea
    Gye Hwan Jin, Sang Bock Lee & Tae Soo Lee
  3. Department of Radiological Science, Nambu University, Gwangju, South Korea
    Gye Hwan Jin & Sang Bock Lee

Authors

  1. Gye Hwan Jin
  2. Sang Bock Lee
  3. Tae Soo Lee

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Correspondence toTae Soo Lee.

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Jin, G.H., Lee, S.B. & Lee, T.S. Context Awareness of Human Motion States Using Accelerometer.J Med Syst 32, 93–100 (2008). https://doi.org/10.1007/s10916-007-9111-y

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