Pourshahrokhi, Narges, Sun, Yitong and Asadipour, Ali, 2024, Book Section, Commercial and research-based wearable devices in spinal postural analysis: A systematic review In: Ferraro, Venere, Covarrubias, Mario, Zdravevski, Eftim, Pires, Ivan Miguel, de Almeida, José Manuel Marques Martins and Gonçalves, Norberto Jorge, (eds.) IoT Technologies and Wearables for HealthCare: 10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24–26, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering . Springer. ISBN 978-3-031-71911-0
Abstract or Description: | The widespread use of ubiquitous computing has led to people spending more time in front of screens, causing poor posture. The COVID-19 pandemic and the shift towards remote work have only worsened the situation, as many people are now working from home with inadequate ergonomics. Maintaining a healthy posture is crucial for both physical and mental health, and poor posture can result in spinal problems. Wearable systems have been developed to monitor posture and provide instant feedback. Their goal is to improve posture over time by using these devices. This article will review commercially available, and research-based wearable devices used to analyse posture. The potential of these devices in the healthcare industry, particularly in preventing, monitoring, and treating spinal and musculoskeletal conditions, will also be discussed. The findings indicate that current devices can accurately assess posture in clinical settings, but further research is needed to validate the long-term effectiveness of these technologies and to improve their practicality for commercial use. |
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Official URL: | https://link.springer.com/chapter/10.1007/978-3-03... |
Subjects: | Other > Technologies > J900 Others in Technology > J990 Technologies not elsewhere classified |
School or Centre: | Research Centres > Computer Science Research Centre |
Funders: | Laboratory for Artificial Intelligence in Design (Project Code: RP1-6) under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government. |
Identification Number or DOI: | 10.1007/978-3-031-71911-0_6 |
Date Deposited: | 08 Jan 2024 16:55 |
Last Modified: | 08 Nov 2024 10:27 |
URI: | https://researchonline.rca.ac.uk/id/eprint/5622 |
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