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 others 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 classication 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 classication 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.
