Evaluating Human Skills using Deep Neural Networks
Supervision: Prof. Dr. Nassir Navab,
Dr. Seong Tae Kim
Abstract
Recently, deep learning has great success in various applications such as image recognition, object detection, and medical applications, etc. Using
YouTube? and Vimeo, how-to videos are widely used to transfer the skills of experts. It is done by capturing the reference video for a specific task and users could learn a new skill according to the how-to videos. Then, how to evaluate the newly learned skills? Usually, it has to be evaluated by the experts but it takes high cost. To address this problem, evaluating human skills with the video is required [1-5]. Human skill evaluation or determination is a research area where researchers develop a new solution to automatically assess the human skills from the video. This technology could be extended to surgical skill assessment in medical applications where it’s accuracy become much more important [6-7]. In this project, we will develop a solution to automatically assess the human skills from the video.
Requirements:
- Good understanding of statistics and machine learning methods.
- Very good programming skills in Python & TensorFlow? / PyTorch?
Location: