Engineering Human Gait and the Potential Role of Wearable Sensors to Monitor Falls

Sejdić, Ervin, Godfrey, Alan, McIlroy, William and Montero-Odasso, Manuel (2019) Engineering Human Gait and the Potential Role of Wearable Sensors to Monitor Falls. In: Falls and Cognition in Older Persons. Springer, pp. 401-426. ISBN 9783030242329

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Abstract

Falls and falls related injuries are the major causes of non-fatal injuries in older adults. With recent advances in mathematics, science and technology, many scientists and engineers are devoting their efforts to prevent falls or to diminish the negative health outcomes after falls. In this chapter, we briefly review major engineering approaches to recover or augment the human gait function pre- and post-falls. Given the proliferation of wearable sensors and the availability of computational resources in the last decade, we focused on the role of wearable sensors to monitor gait instabilities and potentially prevent falls. We reviewed the general framework for gait monitoring using wearables and its utility in real-life settings such as homes or retirement communities. In the last part of the chapter, we focused on recent contributions that have proposed wearable sensors for gait monitoring and fall inferences.

Item Type:	Book Section
Uncontrolled Keywords:	Wearables, Data science, Machine learning, Artificial intelligence, Accelerometer, Falls, Gait, Engineering, Physical therapy, Geriatrics
Subjects:	B800 Medical Technology G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	11 Oct 2019 15:30
Last Modified:	11 Oct 2019 15:30
URI:	http://nrl.northumbria.ac.uk/id/eprint/41089

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