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Open AccessFeature PaperArticle
J. Sens. Actuator Netw. 2018, 7(4), 54;

Activity Classification Feasibility Using Wearables: Considerations for Hip Fracture

School of Engineering and Mathematical Sciences, Auckland University of Technology (AUT), Auckland 1142, New Zealand
School of Clinical Sciences, Auckland University of Technology (AUT), North Shore Campus, Auckland 1142, New Zealand
Author to whom correspondence should be addressed.
Received: 21 November 2018 / Revised: 5 December 2018 / Accepted: 11 December 2018 / Published: 17 December 2018
(This article belongs to the Special Issue Sensor and Actuator Networks: Feature Papers)
PDF [4542 KB, uploaded 17 December 2018]


Falls in the elderly are a common health issue that can involve severe injuries like hip fractures, requiring considerable medical attention, and subsequent care. Following surgery, physiotherapy is essential for strengthening muscles, mobilizing joints and fostering the return to physical activities. Ideally, physiotherapy programmes would benefit from active home-based monitoring of the elderly patients’ daily activities and exercises. This paper aims at providing a preliminary analysis addressing three key research questions. First, what are the key involved activities (at-hospital, home exercises, and activities of daily living) during the post-operative hip fracture rehabilitation process? Second, how can one monitor and identify a range of leg exercises accurately? Last, what is the most suitable sensor location that can categorize the majority of the physical activities thought to be important during the rehabilitation programme? During preliminary testing, it was noted that a standard deviation of the acceleration signal was suitable for classification of static activities like sitting, whereas classification of the ambulatory activities like walking, both the frequency content and related amplitude of the acceleration signal, plays a significant role. The research findings suggest that the ankle is an appropriate location for monitoring most of the leg movement physical activities. View Full-Text
Keywords: activity recognition; hip fractures; rehabilitation; sensor localization; wearables; tri-axial accelerometer activity recognition; hip fractures; rehabilitation; sensor localization; wearables; tri-axial accelerometer

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Gupta, A.; Al-Anbuky, A.; McNair, P. Activity Classification Feasibility Using Wearables: Considerations for Hip Fracture. J. Sens. Actuator Netw. 2018, 7, 54.

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