Browsing Programs, Centers, and Institutes by Author "Jiang, Anxiao"

Now showing items 1-7 of 7

    • Detecting Nodding in YouTube Videos: A Deep Learning Approach 
      Jiang, Yingtao
      This thesis discusses the project of creating a human action detector to YouTube videos by deep learning and other tools and what is expected to be done in the future. The human action specifically studied is "shaking ...
    • Dimpler Detection Using Facial Landmarks in Videos 
      Wang, Shuaifang
      Dimpler is one of the body languages that contributes to the emotion contempt when the action appears unilaterally, and to boredom. It is one of the subtle expressions that people did in everyday life. Although the universal ...
    • Hand Detection and Body Language Recognition Using YOLO 
      Ananthanarayan, Aashish
      Neural Networks play an important role in real-time object detection. Several types of networks are being developed in order to perform such detections at a faster pace. One such neural network that can prove useful is the ...
    • Reliable Memory Storage by Natural Redundancy 
      Mink, Jacob V
      Non-volatile memories are becoming the dominant type of storage devices in modern computers because of their fast speed, physical robustness and high data density. However, there still exist many challenges, such as the ...
    • Sadness Detection for Future Smart Homes 
      Yang, Siyuan
      This thesis focuses on sadness detection and recognition using deep learning and image processing in python. It analyzes accurate and efficient ways to collect a large set of “moments” from YouTube videos to build large-scale ...
    • Static Body Expression Recognition with Openpose 
      Huang, Sicong
      This thesis gives a reliable machine model that recognizes the action of "look down at phone" and distinguishes it from other similar actions in a given consecutive video. It first reproduces facial recognition research ...
    • Yawn Detection Using Support Vector Machine Classification 
      Mayilvahanan, Sarvesh
      A model to detect yawning in a video sequence from a regular camera is proposed. Landmark detectors are able to quickly and accurately estimate the pose of a face with various amounts of light and facial expressions. We ...