Smartphone posture monitoring system to prevent unhealthy neck postures

Lawanont, Worawat; Mongkolnam, Pornchai; Nukoolkit, Chakarida

doi:10.1109/jcsse.2015.7219819

Cited by 12 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our system calculates the neck angle using the two attributes that we mentioned earlier: the face angle and the smartphone tilt angle. A preliminary study of this calculation with only one sample human subject in 2015 showed promising results. However, during that study, the quality of the device used to obtain the images and the coding technique needed several improvements.…”

Section: Methodsmentioning

confidence: 94%

Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Lawanont

Inoue

Mongkolnam

et al. 2018

IEEJ Transactions Elec Engng

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 94%

Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Lawanont

Inoue

Mongkolnam

et al. 2018

IEEJ Transactions Elec Engng

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another study by Hosub Lee et al used an orientation sensor and the front camera of a smartphone to monitor the posture of the human body [9]. The drawback lied in the usage of two internal sensors of the smartphone-the triaxial Accelerometer and Magnetic Sensor (compass) to get [11]. However, the limitation lies in the number of sensors employed.…”

Section: Related Workmentioning

confidence: 99%

Smartphone Based Cervical Spine Stress Prevention

Gupta¹

2018

JSEA

View full text Add to dashboard Cite

Rapidly increasing smartphone usage has resulted in an increasingly adverse impact on the health of people. Cervical Spine Stress and the risk of Thoracic Kyphosis have been accentuated due to inappropriate posture. Existing efforts to solve this problem require the use of expensive wearable devices or can only be implemented on selected smartphones. This paper has proposed a novel posture detecting mechanism which does not require any external devices and can be implemented inexpensively on all smartphones. The solution has utilized the built-in 3-dimensional accelerometer of the smartphone and provided an Android Operating System-based application as a proof of concept that determines the Cervical Spine posture and generates ALERTS when necessary. In addition, data of the posture could be displayed in form of graphs to make the user aware of his or her posture trend throughout the week. The application can be extended to different operating systems.

show abstract

“…Over 75% of people have experienced neck and shoulder pain at some point in their lives [4]. About three billion smartphone users worldwide suffer from neck and shoulder pain due to poor neck posture [5].…”

Section: Introductionmentioning

confidence: 99%

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

et al. 2022

View full text Add to dashboard Cite

Billions of people are using smartphones and computers with poor posture. A careless attitude towards spinal posture could be dangerous for long-term spinal health, leading eventually to curvature of the spine. Ignoring this fact and its treatment at the early stage will significantly deteriorate spinal health and force surgical intervention. Instead of developing an automated posture-correcting system, the existing research mostly focused on a posture-monitoring system to inform the users via a human interface, e.g., Bluetooth-based devices. Therefore, this paper proposes a novel posture-correction method to automatically prevent spinal disease by facilitating proper posture habits. Specifically, we develop a fluid-driven wearable posture corrector, whose skeleton can be fabricated simply using a 3D printer, to estimate angular posture deviation using sensors and provide appropriate assistance to correct the posture habit of the user. Mounted sensors provide the degree of postural bending, and a controller regulates the appropriate signals to provide a friendly pulling force as a reminder to the user through a fluid-driven actuator. The skeleton with a fluid-driven tool is designed to mimic the motion of the spinal posture by activating the actuator, which injects (or releases) the fluid into (or from) the skeleton frame and regulates forces to reduce the angular deviation of the skeleton. The 3D-printed skeleton with a flexible rubber tube has been experimentally evaluated to ensure proper actuating mechanism through the adjustment of air pressure. It is found that, by applying air pressure in the range of 0 to 101.4 kPa, the skeleton is pulled back approximately 1 N to 7 N forces, minimizing the angle up to 12.44∘ with respect to the initial steady stage, which leads to a maximum posture correction of 32.55% angle (θ) of poor posture. From the above experiments, we ensure the functionality of the proposed posture corrector in producing backward forces to correct the posture automatically.

show abstract

Smartphone posture monitoring system to prevent unhealthy neck postures

Cited by 12 publications

References 12 publications

Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Smartphone Based Cervical Spine Stress Prevention

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

Contact Info

Product

Resources

About