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- W4309936110 endingPage "444" @default.
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- W4309936110 abstract "Physical activity is movement of the body or part of the body to make muscles more active and to lose the energy from the body. Regular physical activity in the daily routine is very important to maintain good physical and mental health. It can be performed at home, a rehabilitation center, gym, etc., with a regular monitoring system. How long and which physical activity is essential for specific people is very important to know because it depends on age, sex, time, people that have specific diseases, etc. Therefore, it is essential to monitor physical activity either at a physical activity center or even at home. Physiological parameter monitoring using contact sensor technology has been practiced for a long time, however, it has a lot of limitations. In the last decades, a lot of inexpensive and accurate non-contact sensors became available on the market that can be used for vital sign monitoring. In this study, the existing research studies related to the non-contact and video-based technologies for various physiological parameters during exercise are reviewed. It covers mainly Heart Rate, Respiratory Rate, Heart Rate Variability, Blood Pressure, etc., using various technologies including PPG, Video analysis using deep learning, etc. This article covers all the technologies using non-contact methods to detect any of the physiological parameters and discusses how technology has been extended over the years. The paper presents some introductory parts of the corresponding topic and state of art review in that area." @default.
- W4309936110 created "2022-11-30" @default.
- W4309936110 creator A5012200138 @default.
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- W4309936110 date "2022-11-24" @default.
- W4309936110 modified "2023-10-05" @default.
- W4309936110 title "A Review on Computer Vision Technology for Physical Exercise Monitoring" @default.
- W4309936110 cites W1758208816 @default.
- W4309936110 cites W1968636153 @default.
- W4309936110 cites W1984026713 @default.
- W4309936110 cites W1984554603 @default.
- W4309936110 cites W1995789084 @default.
- W4309936110 cites W2008821584 @default.
- W4309936110 cites W2009888332 @default.
- W4309936110 cites W2016778993 @default.
- W4309936110 cites W2018320351 @default.
- W4309936110 cites W2029745771 @default.
- W4309936110 cites W2031820693 @default.
- W4309936110 cites W2037007156 @default.
- W4309936110 cites W2044756377 @default.
- W4309936110 cites W2047424442 @default.
- W4309936110 cites W2053356496 @default.
- W4309936110 cites W2057530152 @default.
- W4309936110 cites W2058589769 @default.
- W4309936110 cites W2064502866 @default.
- W4309936110 cites W2076296999 @default.
- W4309936110 cites W2082046021 @default.
- W4309936110 cites W2085181102 @default.
- W4309936110 cites W2087171058 @default.
- W4309936110 cites W2099741732 @default.
- W4309936110 cites W2121221556 @default.
- W4309936110 cites W2144854495 @default.
- W4309936110 cites W2166308329 @default.
- W4309936110 cites W2168882470 @default.
- W4309936110 cites W2182854822 @default.
- W4309936110 cites W2230041813 @default.
- W4309936110 cites W2261873586 @default.
- W4309936110 cites W2292402611 @default.
- W4309936110 cites W2294747933 @default.
- W4309936110 cites W2295567513 @default.
- W4309936110 cites W2417322967 @default.
- W4309936110 cites W2461831729 @default.
- W4309936110 cites W2463681440 @default.
- W4309936110 cites W2474837436 @default.
- W4309936110 cites W2503993098 @default.
- W4309936110 cites W2506506742 @default.
- W4309936110 cites W2513199946 @default.
- W4309936110 cites W2515874758 @default.
- W4309936110 cites W2518279088 @default.
- W4309936110 cites W2527304400 @default.
- W4309936110 cites W2535513646 @default.
- W4309936110 cites W2543213483 @default.
- W4309936110 cites W2566564932 @default.
- W4309936110 cites W2571147762 @default.
- W4309936110 cites W2594108740 @default.
- W4309936110 cites W2595278893 @default.
- W4309936110 cites W2612397987 @default.
- W4309936110 cites W2613538271 @default.
- W4309936110 cites W2731175120 @default.
- W4309936110 cites W2733294731 @default.
- W4309936110 cites W2740828715 @default.
- W4309936110 cites W2770104710 @default.
- W4309936110 cites W2773234590 @default.
- W4309936110 cites W2782356651 @default.
- W4309936110 cites W2790335632 @default.
- W4309936110 cites W2790376713 @default.
- W4309936110 cites W2884115335 @default.
- W4309936110 cites W2886076005 @default.
- W4309936110 cites W2897236352 @default.
- W4309936110 cites W2897365170 @default.
- W4309936110 cites W2898848465 @default.
- W4309936110 cites W2898888403 @default.
- W4309936110 cites W2901687371 @default.
- W4309936110 cites W2904363460 @default.
- W4309936110 cites W2905541268 @default.
- W4309936110 cites W2906285312 @default.
- W4309936110 cites W2910943657 @default.
- W4309936110 cites W2970836010 @default.
- W4309936110 cites W2983537352 @default.
- W4309936110 cites W3195385350 @default.
- W4309936110 cites W3215721244 @default.
- W4309936110 cites W4200189703 @default.
- W4309936110 cites W4221138654 @default.
- W4309936110 cites W4244256691 @default.
- W4309936110 cites W4253156077 @default.
- W4309936110 cites W4281393508 @default.
- W4309936110 cites W4283028018 @default.
- W4309936110 cites W4294215472 @default.
- W4309936110 cites W4295537332 @default.
- W4309936110 cites W4308234211 @default.
- W4309936110 cites W2116065779 @default.
- W4309936110 doi "https://doi.org/10.3390/a15120444" @default.
- W4309936110 hasPublicationYear "2022" @default.
- W4309936110 type Work @default.