Hammad Tanveer Butt (TU Kaiserslautern, Germany)
The topic of this talk was “Development of High Rate Wearable MIMU Tracking System Robust to Magnetic Disturbances and Body Acceleration for Muscoskeletal Health, Biomechanics and Ergonomic Studies”.
He completed his BS in Avionics Engineering and MS in Electrical Engineering from NUST. Afterwards he proceeded to a NUST faculty development program to TU Kaiserslautern for his PhD studies. His area of research involves Body Sensor Networks for Wearable and Mobile Health. He has worked on sensor fusion of low cost MEMS based wearable sensors to estimate 3D articulated motion of human body joints. His research has been presented at Fusion-2019 and IntelliSys-2019 conferences, where he also won a best paper award. His current area of focus is to estimate and track full
human body pose from sparsely worn magnetic inertial measurement units using deep learning. He is also collaborating with NUST as a part of TU Kaiserslautern team on a DAAD funded project dealing with Electroencephalogram (EEG) based deep learning.