Projects

Learning Human Touch Interaction with Convolutional Neural Networks
This project is the works done during my research internship at Gentiane Venture’s Laboratory, Tokyo Univ. of Agriculture and Technology, Japan. The project is about using CNN to classify several types of touch interaction from humans by learning the data pattern from a force sensor.
Learning Human Touch Interaction with Convolutional Neural Networks