Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants

Journal of Neuroengineering and Rehabilitation
Nicole A CapelaH Burger

Abstract

Mobile health monitoring using wearable sensors is a growing area of interest. As the world's population ages and locomotor capabilities decrease, the ability to report on a person's mobility activities outside a hospital setting becomes a valuable tool for clinical decision-making and evaluating healthcare interventions. Smartphones are omnipresent in society and offer convenient and suitable sensors for mobility monitoring applications. To enhance our understanding of human activity recognition (HAR) system performance for able-bodied and populations with gait deviations, this research evaluated a custom smartphone-based HAR classifier on fifteen able-bodied participants and fifteen participants who suffered a stroke. Participants performed a consecutive series of mobility tasks and daily living activities while wearing a BlackBerry Z10 smartphone on their waist to collect accelerometer and gyroscope data. Five features were derived from the sensor data and used to classify participant activities (decision tree). Sensitivity, specificity and F-scores were calculated to evaluate HAR classifier performance. The classifier performed well for both populations when differentiating mobile from immobile states (F-score > 94 %). As a...Continue Reading

Associated Clinical Trials

References

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Citations

Oct 30, 2016·Sensors·Hiram PonceMaría de Lourdes Martínez-Villaseñor
Apr 10, 2018·Telemedicine Journal and E-health : the Official Journal of the American Telemedicine Association
Jan 11, 2018·Journal of Healthcare Engineering·Jian LiuSukwon Kim
Jun 13, 2017·Journal of Physical Therapy Science·Ryuji MiyataMegumi Shimodozono
May 27, 2017·Journal of Medical Internet Research·Megan K O'BrienArun Jayaraman
Aug 12, 2017·JMIR Rehabilitation and Assistive Technologies·Luca LoniniArun Jayaraman
Oct 3, 2018·PM & R : the Journal of Injury, Function, and Rehabilitation·Franchino PorciunculaLouis N Awad
May 23, 2020·JMIR MHealth and UHealth·John Michael TempletonSandra Schneider
Jul 30, 2017·Sensors·Alicia Nieto-ReyesCarmen Lage
Dec 3, 2020·Sensors·Ajaykumar ManivannanRoland Bouffanais
Feb 9, 2021·Journal of Healthcare Informatics Research·N HernandezW Ben Mortenson
Nov 6, 2020·Journal of Neuroengineering and Rehabilitation·Fabian Marcel Rast, Rob Labruyère
Feb 13, 2021·International Journal of Environmental Research and Public Health·Pin-Wei ChenAlex W K Wong
Nov 10, 2020·Bio-medical Materials and Engineering·Ryuji MiyataMegumi Shimodozono
May 1, 2021·Sensors·Dragos Daniel Taralunga, Bogdan Cristian Florea
Nov 7, 2020·Disability and Rehabilitation. Assistive Technology·Klinta EpalteGuna Bērziņa

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Software Mentioned

DifftoY
SMAvar
TOHRC Data Logger
Matlab

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