Crossing obstacles in a walkway: on the capability of wavelet-based detection strategies using wearable sensor data

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Rahimi Fariborz; Eyvazpour Reza; Nobahar Behzad; Jog Mandar; Duval Christian

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCED SIGNAL PROCESSING Year:2020 | Volume:4 | Issue:1 (5) Page(s): 39-46

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Title

Crossing obstacles in a walkway: on the capability of wavelet-based detection strategies using wearable sensor data

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Keywords

Obstacle crossing

walking over

signal processing

wavelet

automatic detection

wearable sensor

Abstract

Mobility and its quality has direct and significant effect on quality of life. Passing over obstacles is unavoidable and its safe execution is a measure of mobility for community dwellers particularly for elderly and Parkinson patients with higher risk of falling. Algorithms for monitoring mobility in high risk people, need automatic detection to examine frequency and quality of passing over obstacles. Very few attempts can be found in the literature who just focus on the healthy population who need complex algorithms. Furthermore, in real life situations, people encounter a range of obstacle heights that should be detectable in such algorithms. In this paper a wavelet-based algorithm is examined and its performance is evaluated in detection of tall and short obstacles for two groups of healthy and Parkinson participants. Accuracy of this method was 98. 5% for the 19 healthy elderly participants, and 90. 6% for the 12 Parkinson patients. The maximum error in detection of Obstacle crossing time was 0. 1 second for either feet and for both barrier heights.

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APA: Copy

Rahimi, Fariborz, Eyvazpour, Reza, Nobahar, Behzad, Jog, Mandar, & Duval, Christian. (2020). Crossing obstacles in a walkway: on the capability of wavelet-based detection strategies using wearable sensor data. JOURNAL OF ADVANCED SIGNAL PROCESSING, 4(1 (5) ), 39-46. SID. https://sid.ir/paper/964580/en

Vancouver: Copy

Rahimi Fariborz, Eyvazpour Reza, Nobahar Behzad, Jog Mandar, Duval Christian. Crossing obstacles in a walkway: on the capability of wavelet-based detection strategies using wearable sensor data. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2020;4(1 (5) ):39-46. Available from: https://sid.ir/paper/964580/en

IEEE: Copy

Fariborz Rahimi, Reza Eyvazpour, Behzad Nobahar, Mandar Jog, and Christian Duval, “Crossing obstacles in a walkway: on the capability of wavelet-based detection strategies using wearable sensor data,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 4, no. 1 (5) , pp. 39–46, 2020, [Online]. Available: https://sid.ir/paper/964580/en

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