Event
M.S. Thesis Defense: Siqin Li
Friday, April 13, 2018
9:30 a.m.
AVW 4185
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: M.S. Thesis Defense
Name: Siqin Li
Committee:
Yiannis Aloimonos, Chair
Gang Qu
Cornelia Fermüller
Date & Time: Friday, April 13, 2018 at 9:30 a.m.
Place: AVW 4185
Title: Human Robot Interaction on Gesture Controlled Drone: Methods, Systems and Evaluation
Abstract: Today, the interaction between robots and human is mostly based on remote controller. However, this interaction could be more natural, just like we humans interact with each other through speech, body movements, facial expressions, and so on. We propose gesture and body language as an alternative to interact with robots, particularly Unmanned Aerial Vehicles(UAVs) also known as drones. In this dissertation, we developed action recognition methods for the interaction with drones.
Automatic detection and classification of dynamic actions in real-world system intended for human robot interaction is challenging because: 1) there is large variation in how people perform actions, making detection and classification difficult; 2) the system must work online in order to avoid a noticeable delay in the interaction between the human and the drone. In this work, we address these challenges through the combination of a real-time skeleton detection and online action/gesture classification on skeleton data.