Research & Development Projects
ObjectCrossing Android Application
Real-time IMU-based Gait Analysis on Mobile Devices
- Mobile application for collecting and analyzing gait data during obstacle crossing tasks
- Integrated Movella DOT SDK for real-time IMU data acquisition
- Features real-time visualization of sensor data and gait parameters
- Enables on-device processing and analysis of wearable sensor streams
- Designed for accessibility and usability in research settings
Technologies: Android, Java, Movella DOT SDK, Real-time Processing
MATLAB Gait Analysis Pipeline
Multi-Sensor Data Processing & Biomechanical Analysis
- Comprehensive MATLAB-based framework for processing multi-IMU sensor data
- Synchronization and fusion of distributed sensor networks (Xsens DOT V2 and Awinda MTw)
- Algorithms for obstacle detection and classification during walking
- Temporal-spatial gait parameter extraction and analysis
- Terrain classification using machine learning approaches
- Publication: Real-time smartphone-based foot height estimation for fall prevention
Technologies: MATLAB, Signal Processing, Machine Learning, Data Fusion
Foot Clearance Estimation System
Smartphone-Based Obstacle Avoidance Monitoring
- Real-time foot height estimation using smartphone sensors
- Designed for fall prevention monitoring in elderly adults
- Mobile approach eliminates need for specialized wearable hardware
- Adaptive thresholding for terrain-specific clearance detection
- Integration with haptic feedback for real-time user cueing
Technologies: Mobile Sensing, Real-time Processing, Computer Vision, Fall Prevention
IMU Synchronization & Network Integration
Multi-Sensor Coordination for Distributed Sensing Systems
- Synchronization framework for coordinating multiple IMU sensors across the body
- Xsens DOT V2 and Xsens Awinda MTw network integration
- Wireless data streaming and real-time aggregation
- Quality assurance and data validation protocols
- Foundation for all multi-IMU research projects
Technologies: Wireless Sensor Networks, Real-time Systems, Data Synchronization
Haptic Feedback for Gait Correction
Adaptive Sensory Augmentation for Balance & Mobility
- Real-time haptic cueing system for gait correction
- Adaptive feedback algorithms based on gait parameters
- Integration with IMU-based gait analysis
- User studies on effectiveness for fall prevention
- Wearable haptic device interface
Technologies: Haptic Feedback, Real-time Control, User Studies, Biomechanics
Skills & Technologies
- Sensors: Xsens DOT V2, Xsens Awinda MTw IMU networks
- Software: MATLAB, Android (Java), Python
- Frameworks: Movella DOT SDK, Real-time Processing
- Methods: Signal Processing, Machine Learning, Biomechanical Analysis
- Research: Gait Analysis, Fall Prevention, Wearable Sensing, Haptic Feedback