Accuracy of physical activity recognition from a wrist-worn sensor.

Cooper, Kay; Sani, Sadiq; Corrigan, Liam; MacDonald, Haley; Prentice, Chris; Vareta, Rob; Massie, Stewart; Wiratunga, Nirmalie

Abstract

The EU-funded project 'selfBACK' (http://www.selfback.eu) will utilise continuous objective monitoring of physical activity (PA) by a wrist-mounted wearable, combined with self-monitoring of symptoms and case-based reasoning. Together these will provide personalised self-management plans to people with low back pain via a novel digital health intervention. The purpose of this study was to determine the accuracy of PA recognition via wrist-mounted sensors compared to thigh-mounted sensors. Thigh or hip-mounted sensors have previously been shown to be the most accurate placement for single sensor-based PA monitoring. However, long-term adherence may be greatly enhanced with a less obtrusive wrist-worn sensor. It was therefore important to compare both locations.

Citation

COOPER, K., SANI, S., CORRIGAN, L., MACDONALD, H., PRENTICE, C., VARETA, R., MASSIE, S. and WIRATUNGA, N. 2017. Accuracy of physical activity recognition from a wrist-worn sensor. Presented at the 2017 Physiotherapy UK conference and trade exhibition: transform lives, maximise independence and empower populations, 10-11 November 2017, Birmingham, UK.

• Presentation Conference Type: Poster
• Conference Name: 2017 Physiotherapy UK conference and trade exhibition
• Start Date: Nov 10, 2017
• End Date: Nov 11, 2017
• Deposit Date: Feb 16, 2018
• Publicly Available Date: Feb 16, 2018
• Peer Reviewed: Peer Reviewed
• Keywords: Physical activity; Digital health; Monitoring
• Public URL: http://hdl.handle.net/10059/2755
• Contract Date: Feb 16, 2018