Abstract
This paper studied the detection of falls and activities of daily living (ADLs) with the objective: to automatically monitor health situation and prevent the elder out of injury from fallings. In this study, a wireless sensor system (WSS), based on accelerometer and gyroscope, is placed at the centre of the chest to collect real-time ADLs and fall data. The WSS contains a set of ADXL345 (3-axis digital accelerometer sensor), ITG3200 (3-axis digital gyroscope sensor), MCU LPC17680 (ARM 32-bit cortex M3), and Wi-Fi module RN131. Experiment protocols consisting of four types of falls such as forward fall, backward fall, and side way fall (left and right), and ADLs such as standing, walking, sitting down/ standing up, stepping, running along with normal gait involved 324 tests on 18 human subjects.
The results from the experiment shows the system and algorithm could distinguish falling and ADLs with high accuracy.
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© 2015 Springer International Publishing Switzerland
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Huynh, Q.T., Nguyen, U.D., Liem, K.T., Tran, B.Q. (2015). Detection of Activities Daily Living and Falls Using Combination Accelerometer and Gyroscope. In: Toi, V., Lien Phuong, T. (eds) 5th International Conference on Biomedical Engineering in Vietnam. IFMBE Proceedings, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-319-11776-8_45
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DOI: https://doi.org/10.1007/978-3-319-11776-8_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11775-1
Online ISBN: 978-3-319-11776-8
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