Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 26, 20 December 2023
Open
Access | Article
Analysis on smart seats intelligently correcting users' sitting posture
* Author to whom correspondence should be addressed.
Abstract
In contemporary times, an increasing number of individuals are encountering health-related issues stemming from extended periods of sitting, primarily attributable to improper sitting posture. Hence, the introduction of an intelligent seating solution into the market is imperative and holds significant potential for commercial success. Concerns regarding the health of children, namely their spinal development, as well as the need for sedentary workers to maintain a healthy sitting posture, have become significant issues for consumers. Currently, there are certain items in the market, such as backrests, which aim to partially correct sitting posture. However, these products have limitations in terms of requiring attachment or wearing, as well as lacking sufficient data support. Consequently, the user experience and scalability of these products are considerably inadequate. Based on the analysis of consumer big data by China Business News data (CBNData), there has been a notable surge in the market’s appetite for premium corrective goods in recent years. There exists a market demand for products that are closely associated, specifically smart seats. Currently, researchers have conducted investigations on the recognition and reminder systems pertaining to sitting posture. This paper aims to conduct a comprehensive analysis and evaluation of the fundamental prerequisites and advancements in intelligent seating systems by employing literature analysis and review methods.
Keywords
Children’s intelligent seats, sitting posture monitoring, sitting posture correction, spinal health
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-235-0
- ISBN (Online)
- 978-1-83558-236-7
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/26/20241040
- Copyright
- 20 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited