2018
DOI: 10.1002/tee.22778
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Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Abstract: 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. Da… Show more

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Cited by 27 publications
(8 citation statements)
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“…We reviewed all smartphone-based driver fatigue detection systems in this paper to provide authors with a resource for further research on this topic. The number of smartphone users has risen significantly since the start of the smartphone age [ 195 ]. As a result, some aspects of their use have prompted researcher concerns.…”
Section: Discussionmentioning
confidence: 99%
“…We reviewed all smartphone-based driver fatigue detection systems in this paper to provide authors with a resource for further research on this topic. The number of smartphone users has risen significantly since the start of the smartphone age [ 195 ]. As a result, some aspects of their use have prompted researcher concerns.…”
Section: Discussionmentioning
confidence: 99%
“…In [15], the nausea prediction has been analysis based on smartphones-enabled video observation and directly observed treatments. In another vain, both camera sensor and inertial sensors' measurements have been utilized in [16] to monitor neck posture and consequently to predict the level of humanheadache. A comprehensive work has been studied to indicate the type of cough via using smartphone-microphone chipset in [17] and [18].…”
Section: The Proposed Frameworkmentioning
confidence: 99%
“…On the other hand, human exhaustion may be detected using videos and images captured by smart phone camera sensors or 'onboard inertial sensors' [34][35]. Story et al [36] use mobile phone videos to recognize nausea, whereas Lawanont et al [37] track neck positioning and recognize health migraine levels using camera photos and inertial sensor readings. Consequently, voice evidence gathered from the smart phone's microphone sensor is being used to diagnose coughing [38][39].…”
Section: Literature Surveymentioning
confidence: 99%