抄録
Since the beginning of the smartphone era, the number of smartphone users has increased dramatically. Consequently, several aspects of their use have provoked concerns from researchers. From a health-related perspective, text neck syndrome is a consequence of excessive smartphone use. Therefore, we introduce a neck posture monitoring system to help prevent text neck syndrome in smartphone users. The system operates on smartphones using the embedded rotation vector sensors and the camera for image detection. Data from the sensors and camera are used to calculate the neck angle. The results of an experiment show that the calculation algorithm is not significantly different from the photogrammetric method, which was proposed earlier as a method to measure the neck angle from a side view image. In summary, we propose a system that includes the detection and classification of the user's neck posture to raise awareness and help promote better posture to prevent text neck syndrome among smartphone users.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 1501-1510 |
| ページ数 | 10 |
| ジャーナル | IEEJ Transactions on Electrical and Electronic Engineering |
| 巻 | 13 |
| 発行部数 | 10 |
| DOI | |
| 出版物ステータス | Published - 2018 10 1 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
これを引用
Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept. / Lawanont, Worawat; Inoue, Masahiro; Mongkolnam, Pornchai; Nukoolkit, Chakarida.
：: IEEJ Transactions on Electrical and Electronic Engineering, 巻 13, 番号 10, 01.10.2018, p. 1501-1510.研究成果: Article
}
TY - JOUR
T1 - Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept
AU - Lawanont, Worawat
AU - Inoue, Masahiro
AU - Mongkolnam, Pornchai
AU - Nukoolkit, Chakarida
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Since the beginning of the smartphone era, the number of smartphone users has increased dramatically. Consequently, several aspects of their use have provoked concerns from researchers. From a health-related perspective, text neck syndrome is a consequence of excessive smartphone use. Therefore, we introduce a neck posture monitoring system to help prevent text neck syndrome in smartphone users. The system operates on smartphones using the embedded rotation vector sensors and the camera for image detection. Data from the sensors and camera are used to calculate the neck angle. The results of an experiment show that the calculation algorithm is not significantly different from the photogrammetric method, which was proposed earlier as a method to measure the neck angle from a side view image. In summary, we propose a system that includes the detection and classification of the user's neck posture to raise awareness and help promote better posture to prevent text neck syndrome among smartphone users.
AB - Since the beginning of the smartphone era, the number of smartphone users has increased dramatically. Consequently, several aspects of their use have provoked concerns from researchers. From a health-related perspective, text neck syndrome is a consequence of excessive smartphone use. Therefore, we introduce a neck posture monitoring system to help prevent text neck syndrome in smartphone users. The system operates on smartphones using the embedded rotation vector sensors and the camera for image detection. Data from the sensors and camera are used to calculate the neck angle. The results of an experiment show that the calculation algorithm is not significantly different from the photogrammetric method, which was proposed earlier as a method to measure the neck angle from a side view image. In summary, we propose a system that includes the detection and classification of the user's neck posture to raise awareness and help promote better posture to prevent text neck syndrome among smartphone users.
KW - classification
KW - image detection
KW - posture monitoring
KW - smartphone usage
KW - text neck
UR - http://www.scopus.com/inward/record.url?scp=85051063702&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051063702&partnerID=8YFLogxK
U2 - 10.1002/tee.22778
DO - 10.1002/tee.22778
M3 - Article
AN - SCOPUS:85051063702
VL - 13
SP - 1501
EP - 1510
JO - IEEJ Transactions on Electrical and Electronic Engineering
JF - IEEJ Transactions on Electrical and Electronic Engineering
SN - 1931-4973
IS - 10
ER -