Hybrid Position Analysis Integrating Video and Motion Sensors for Enhanced Tracking

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Dr. V. Dooslin Mercy Bai; Ashok D; Ashwin Siddharth S; Bavani S; Dhanush T

Hybrid Position Analysis Integrating Video and Motion Sensors for Enhanced Tracking

Authors: Dr. V. Dooslin Mercy Bai, Ashok D, Ashwin Siddharth S, Bavani S, Dhanush T

Unique Paper ID: 177901
Volume: 11
Issue: 12
PageNo: 2901-2907

Keywords: Posture Analysis Motion Sensors Video-Based Tracking Pose Estimation Ergonomics

Abstract:
This invention presents an AI-powered biomechanical posture analysis system that integrates webcam video data and motion sensors to provide real-time posture monitoring, analysis, and corrective feedback. The system employs computer vision algorithms to detect body landmarks and calculate joint angles, while motion sensors (such as accelerometers, gyroscopes, and inertial measurement units) measure angular deviations, enhancing accuracy beyond standalone vision-based methods. The AI model classifies posture patterns based on predefined biomechanical thresholds, identifying improper postures that may lead to musculoskeletal disorders. Upon detecting a deviation, the system triggers an alert through visual notifications, audio cues, or haptic feedback, prompting users to adjust their posture. The system can be applied in various settings, including office ergonomics, fitness training, physiotherapy, and industrial workplaces, where prolonged improper posture may result in chronic health issues. Unlike conventional posture correction methods that depend only on webcams or wearable devices, this hybrid approach leverages the advantages of both technologies, offering improved accuracy and flexibility across various settings. The machine learning component of the system enables personalized posture tracking, adapting to users' individual biomechanics and habits over time. Additionally, an analytics dashboard provides long-term posture insights, helping users track improvements and optimize ergonomics. This invention offers a cost-effective, user-friendly, and privacy-conscious solution for individuals and organizations aiming to improve posture and prevent health complications associated with poor ergonomics. By integrating AI-based vision processing with sensor-based motion tracking, this system ensures real-time, intelligent posture monitoring and correction, contributing to enhanced well-being and productivity.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2901-2907

Hybrid Position Analysis Integrating Video and Motion Sensors for Enhanced Tracking

Available:https://ijirt.org/article?manuscript=177901

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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