3D Hand Pose Estimation Using Convolutional Neural Networks
3D hand pose is challenging due to complicated variations caused by high Degree of Freedom articulations, multiple viewpoints, self-similar parts, severe self-occlusions, different shapes, and sizes. My Ph.D. work tackles 1) the multiple viewpoints and…
VerticalThings: A DSL for ML/Data Processing IoT Applications
The Internet of Things (IoT) is poised to revolutionize our world. Billions of microcontrollers and sensors have already been deployed for predictive maintenance, connected cars, precision agriculture, personalized fitness and wearables, smart housing, cities, healthcare,…
Machine Learning for Placement-insensitive Inertial Motion Capture (ICRA 2018)
Although existing inertial motion-capture systems work reasonably well (less than 10 degree error in Euler angles), their accuracy suffers when sensor positions change relative to the associated body segments (+/1 60 degree mean error and…