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http://dx.doi.org/10.23087/jkicsp.2022.23.3.001

A neck healthy warning algorithm for identifying text neck posture prevention  

Jae-Eun Lee (Division of Computer Engineering and AI, Pukyong National University)
Jong-Nam Kim (Division of Computer Engineering and AI, Pukyong National University)
Hong-Seok Choi (Division of Computer Engineering and AI, Pukyong National University)
Young-Bong Kim (Division of Computer Engineering and AI, Pukyong National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.23, no.3, 2022 , pp. 115-122 More about this Journal
Abstract
With the outbreak of COVID-19 a few years ago, video conferencing and electronic document work have increased, and for this reason, the proportion of computer work among modern people's daily routines is increasing. However, as more and more people work on computers in the wrong posture for a long time, the number of patients with poor eyesight and text neck is increasing. Until recently, many studies have been published to correct posture, but most of them have limitations that users may experience discomfort because they have to correct posture by wearing equipment. A posture correction sensor algorithm is proposed to prevent access to the minimum distance between a computer monitor and a person using an ultrasonic sensor device. At this time, an algorithm for minimizing false alarms among warning alarms that sound at the minimum distance is also proposed. Because the ultrasonic sensor device is used, posture correction can be performed without attaching a device to the body, and the user can relieve discomfort. In addition, experimental results showed that accuracy can be improved by reducing false alarms by removing more than half of the noise generated during distance measurement.
Keywords
Distance; False alarm; Posture correction; Text neck; Ultrasonic sensor;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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