Research Areas

Core research interests and ongoing investigations

Human Activity Recognition

Developing advanced sensor-based systems for recognizing human activities in healthcare settings. Focus on multimodal sensor fusion, real-time processing, and applications in elderly care and rehabilitation.

  • Wearable sensor data processing
  • Activity classification algorithms
  • Real-time activity monitoring
  • Healthcare applications

Healthcare AI & Assistive Technologies

Applying artificial intelligence to healthcare challenges, particularly in assistive technologies for vulnerable populations including infants and elderly individuals.

  • Neurological disorder detection
  • Movement analysis systems
  • Predictive health monitoring
  • Clinical decision support

Pattern Recognition & Machine Learning

Advanced pattern recognition techniques for analyzing complex multimodal data streams from various sensors and medical devices.

  • Deep learning architectures
  • Feature extraction methods
  • Classification algorithms
  • Time-series analysis

Computer Vision & 3D Pose Estimation

Developing computer vision systems for human pose estimation and movement analysis using RGBD cameras and advanced image processing techniques.

  • 3D human pose tracking
  • Depth camera processing
  • Motion capture systems
  • Clinical gait analysis

Multimodal Sensor Data Analysis

Integration and analysis of data from multiple sensor modalities including IMUs, cameras, and physiological sensors for comprehensive health assessment.

  • Sensor fusion techniques
  • Data synchronization
  • Multi-stream processing
  • Cross-modal learning

Wearable Technology & IoT Health

Design and development of wearable sensor systems and IoT devices for continuous health monitoring in home and clinical environments.

  • Wearable sensor design
  • Edge computing for health
  • IoT healthcare systems
  • Remote patient monitoring