NeckWatcher: A Real-time Monitoring Tool for the Assessment of the Neck Posture

被引：0

作者：

Trygub, Iryna ^{[1
]}

Ahlf, Johanna ^{[1
]}

Campanale, Martina ^{[1
]}

Jeworutzki, Andre ^{[1
]}

Schwarzer, Jan ^{[1
]}

机构：

[1] Hamburg Univ Appl Sci, Hamburg, Germany

来源：

PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2023 | 2023年

关键词：

pose estimation; machine learning; posture detection; neck pain;

D O I：

10.1145/3594806.3596529

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Persistant poor posture can lead to the development of neck pain. Many different solutions have been proposed to aid in neck posture control, but most of them require additional devices. In this study, we present NeckWatcher, a tool that builds on MediaPipe Pose and utilizes an integrated webcam to monitor a person's neck posture in real-time. It is designed to be user-friendly and realized as a stand-alone solution. Our first results suggest that NeckWatcher can be a useful tool for improving the sitting posture and, by that, reducing the risk of developing neck pain.

引用

页码：241 / 242

页数：2

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