IMU based body movements tracking device (Full body)
Project Overview:
The Full-Body IMU-Based Movement Tracking Device is an advanced wearable system designed to monitor and analyze complete body movements. Equipped with six high-precision IMU sensors, the device provides accurate biomechanical data, enabling the creation of a detailed 3D map of the entire body. This data is transmitted via Bluetooth to a mobile application, where users can visualize a dynamic full-body avatar in real-time.
This system is particularly valuable for applications in the medical, sports, and rehabilitation sectors, helping users correct posture, track movements, and analyze performance.
Key Features:
- Six Integrated IMU Sensors: Strategically placed to capture detailed movement data from various body parts for comprehensive tracking.
- 3D Full-Body Mapping: Generates an accurate real-time 3D model of the entire body, visualized in the app’s avatar.
- Bluetooth Connectivity: Ensures seamless data transfer to the mobile application for instant feedback and analysis.
- Mobile Application Integration: Allows users to view and interact with their movement data through an intuitive interface.
Benefits:
- Posture Correction:
- Monitors body alignment in real-time to identify and correct posture issues.
- Full-Body Movement Monitoring:
- Tracks precise movements of each body segment, enabling comprehensive motion analysis.
- Rehabilitation and Therapy:
- Helps therapists track patients’ recovery progress and provides valuable feedback for improving mobility.
- Sports Performance Enhancement:
- Offers detailed insights into athletic movements, helping athletes refine their techniques and reduce injury risks.
Why Choose the Full-Body IMU-Based Movement Tracking Device?
The Full-Body IMU-Based Movement Tracking Device offers unparalleled accuracy and insights for monitoring body movements. Whether for medical recovery, sports performance, or posture improvement, this system empowers users to achieve their goals with real-time feedback and advanced analytics.