A novel mobile wireless sensing system for realtime monitoring of posture and spine stress

El-Sayed, Bilal; Farra, Noura; Moacdieh, Nadine Marie; Hajj, Hazem; Haidar, Rachid; Hajj, Ziad

doi:10.1109/mecbme.2011.5752156

Cited by 22 publications

(15 citation statements)

References 4 publications

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“…The systems are classified according to the sensing technologies. The posture monitoring systems based on pressure sensors have been deeply investigated [14]- [16]. The pressure sensors provide weight information that are analyzed in order to define the body posture.…”

Section: Posture Monitoring Systemsmentioning

confidence: 99%

A Survey on sitting posture monitoring systems

Tlili¹,

Haddad²,

Ouakrim

et al. 2018

2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)

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Spinal pain caused by the bad sitting posture can affect adults and young people. The slouching and leaning for long hours using computers and portable electronic devices is the main cause of the back problems. Recently, in order to prevent the spinal pain, sitting posture monitoring systems have been developed in the literature to assess the posture of a seated person in real-time and improve sitting posture. The purpose of this study is to review the recent posture monitoring systems. The review is based on a literature search in PubMed, IEEE Xplore and Science Direct. We studied the main characteristics of the posture monitoring systems, the used technologies to identify the posture changes over time and the systems limits. The posture systems are classified according to their sensing technologies. This paper can be a valuable source of recent reference for future research in the field of sitting posture monitoring systems.

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Section: Posture Monitoring Systemsmentioning

confidence: 99%

A Survey on sitting posture monitoring systems

Tlili¹,

Haddad²,

Ouakrim

et al. 2018

2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)

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“…When a bad posture is detected redundantly, the proposed system gives warning to the user and stores inappropriate posture data as a log. Farra, N. et al developed a system to monitor spine health by measuring the inclination of the user's upper back and stress exerted on the spine [5,6]. To achieve this, they attached special sensors such as an inclinometer and load cells at the neck and shoes of the user, respectively.…”

Section: Related Workmentioning

confidence: 99%

“…After tests were performed, we asked participants questions on their opinion about self-awareness of alt.chi: Nature and Nurture CHI 2013: Changing Perspectives, Paris, France incorrect postures in their everyday smartphone usage (1), approximate time of smartphone use with such an incorrect posture (2), recent experience of muscle pain around their necks (3), accuracy of the proposed posture monitoring method (4), and general satisfaction and applicability of the demo application for their daily lives (5). We used 5 point scale in answering question 1, 3, and 5.…”

Section: User Studymentioning

confidence: 99%

Smart pose

Lee

Choi

Lee

et al. 2013

CHI '13 Extended Abstracts on Human Factors in Computing Systems

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With the widespread use of smartphones, users tend to use their smartphones for a long period of time with unhealthy postures, bending forward their upper body including the neck. If users keep such an unhealthy posture for a long time, their neck and back muscles get chronically strained, which might cause diseases such as cervical myalgia. To prevent these diseases, we propose a new methodology to monitor the posture of smartphone users with built-in sensors. The proposed mechanism estimates a value representing user postures like head/neck tilt angle by analyzing sensor data from a front-faced camera, 3-axis accelerometer, and orientation sensor. It then informs the user if the estimated value is maintained within the abnormal range over a pre-defined time.

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“…When a bad posture is detected redundantly, the proposed system gives warning to the user and store inappropriate posture data as a log. N. Farra et al developed a system to monitor spine health through measuring an inclination of the user's upper back and stress exerted on the spine [2,3]. To achieve this, they attached special sensors such as an inclinometer and load cells at the neck and shoes of the user, respectively.…”

Section: Related Workmentioning

confidence: 99%

A new posture monitoring system for preventing physical illness of smartphone users

Lee¹,

Lee²,

Choi³

et al. 2013

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)

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With the widespread use of smartphones, users tend to use their smartphone for a long period of time in unhealthy postures; bending forward the neck and watching the relatively small screen closely with concentration. If users keep such unhealthy postures for a long time, they are susceptible to musculoskeletal disorders and eye problems such as cervical disc and myopia, respectively. To prevent users from having these diseases, we propose a new methodology to monitor the posture of smartphone users with built-in sensors. The proposed mechanism estimates various values representing user postures like the tilt angle of the neck, viewing distance, and gaze condition of the user, by analyzing sensor data from a front-faced camera, 3-axis accelerometer, orientation sensor, or any combination thereof, and warns the user if estimated values are maintained within the abnormal range over the pre-defined time. As a proof of concept, we developed an Android application named Smart Pose which estimates the user's neck tilt angle from analysis of the facial image, shakiness and tilt angle of the smartphone, and then notifies the user when her/his neck tilt angle is maintained in an unusual range during the smartphone operation. Also, we validated the result of our system by the comparison with measurements from 3D posture imaging equipment in our research facility. Via the proposed mechanism, a participant was able to be aware of his unhealthy postures, and then try to correct them.

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A novel mobile wireless sensing system for realtime monitoring of posture and spine stress

Cited by 22 publications

References 4 publications

A Survey on sitting posture monitoring systems

A Survey on sitting posture monitoring systems

Smart pose

A new posture monitoring system for preventing physical illness of smartphone users

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