Sensor based posture detection system

Devi, Kamalini; Anand, Jose; Kothai, R.; Krishna, J.M. Ajai; Muthurampandian, R.

doi:10.1016/j.matpr.2021.09.556

Cited by 19 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This part of the vertebra will provide support and base for the movement of head and neck. This region is branched up with different group of muscles that provide mechanical strength and locomotion of the neck [11][12][13][14]. Data acquisition The data is acquired at a time interval of every 70 seconds.…”

Section: Design Module a Sensor Placement Sensor Placement In Neckmentioning

confidence: 99%

Monitoring and Correction of Human Joints Posture using Flex sensor

T. Jayasree

2024

jes

View full text Add to dashboard Cite

A large number of the working population have occupations which require long hours of sitting and students spend most of their time on laptop, mobile devices leaning forward, incorrect sleeping posture etc., these mentioned habits lay significant strain on the posture. In fact, after surveying 200 people of various age groups, 76% said that they do not practice good posture. Of those people, more than 90% said that they experience joint pain. A posture monitoring and correction system is developed which is used to enhance the quality of life by providing the support needed to maintain good posture. When the user retains the same posture for a period of 2 minutes, this system will automatically warn the user such that he/she can correct it. The neck posture is monitored by placing the flex sensor over the neck region of C2 – C7 of cervical vertebra and intimated by buzzer sound if the user maintained the same posture for around 120 seconds. This proposed work will be further utilized to analyze the improper use of wrist joint which creates numbness and leads to carpel tunnel syndrome. The flex sensor monitors the wrist joint movement which will placed in the dorsal side of the wrist and give an alarm, besides the maximum extension up to which one can do flexion and extension will also be set so that the over usage of the joint will be intimated by auditory signal.

show abstract

Section: Design Module a Sensor Placement Sensor Placement In Neckmentioning

confidence: 99%

Monitoring and Correction of Human Joints Posture using Flex sensor

T. Jayasree

2024

jes

View full text Add to dashboard Cite

show abstract

“…Lastly, Devi et al [4] explored a sensor-based posture detection system that utilized sensors such as accelerometers, gyroscopes, and magnetometers to detect a person's posture in real time. Their system offered two posture detection approaches: a rule-based method and a machine learning-based approach.…”

Section: Literature Surveymentioning

confidence: 99%

Detection and Correction of Yoga Poses

et al. 2023

IJFMR

View full text Add to dashboard Cite

Yoga is a highly beneficial physical activity with promising applications in personal healthcare. Multiple studies have demonstrated that yoga can serve as a physical treatment for various health issues, such as cancer, musculoskeletal disorders, depression, Parkinson's disease, and respiratory and heart diseases, among others. Proper body alignment is critical in yoga, requiring effort on the muscles, ligaments, and joints to achieve the optimal posture. Postural-based yoga can improve flexibility, energy, and brain activity, and reduce stress, blood pressure, and back pain. During yogic asanas, proper body alignment is crucial to avoid strain on the joints, ligaments, and backbone, particularly during forward or backward bending asanas such as uttanasana, kurmasana, ustrasana, and dhanurasana. To ensure correct poses while performing different asanas, it is essential to monitor body posture alignment. Advancements in computer vision algorithms and sensors have made it possible to predict yoga posture and automatically analyse movement. Therefore, practitioners can now leverage technology to enhance their yoga practice and achieve better results. This paper proposes a method to analyse the yoga postures performed by the user and correct them in real time.

show abstract

“…Pose detection is explored in [5] where accelerometer sensors were amalgamated with micro-controllers for detecting the poses. Garg's team [6] utilized CNN and codified the conceptual skeletonization for body key point identification through MediaPipe library for yoga pose classification that is helpful for real-time classification.…”

Section: Introductionmentioning

confidence: 99%

YoNet: A Neural Network for Yoga Pose Classification

et al. 2023

View full text Add to dashboard Cite

Yoga has become an integral part of human life to maintain a healthy body and mind in recent times. With the growing, fast-paced life and work from home, it has become difficult for people to invest time in the gymnasium for exercises. Instead, they like to do assisted exercises at home where pose recognition techniques play the most vital role. Recognition of different poses is challenging due to proper dataset and classification architecture. In this work, we have proposed a deep learning-based model to identify five different yoga poses from comparatively fewer amounts of data. We have compared our model’s performance with some state-of-the-art image classification models-ResNet, InceptionNet, InceptionResNet, Xception and found our architecture superior. Our proposed architecture extracts spatial, and depth features from the image individually and considers them for further calculation in classification. The experimental results show that it achieved 94.91% accuracy with 95.61% precision.

show abstract

Sensor based posture detection system

Cited by 19 publications

References 20 publications

Monitoring and Correction of Human Joints Posture using Flex sensor

Monitoring and Correction of Human Joints Posture using Flex sensor

Detection and Correction of Yoga Poses

YoNet: A Neural Network for Yoga Pose Classification

Contact Info

Product

Resources

About