Human Activity Recognition
This project includes developing algorithms from analyzing sensor data, and developing applications involving sensors, smart phones and cloud services. Challenges that was addressed regarding activity detection includes developing algorithms to reduce computational cost by reducing number of sensors, ensuring robustness and energy efficiency while improving accuracy.
One key objective of my research is designing systems for seamless integration of technology by adopting human-centric approach and accommodating natural human behavior