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M.S. Thesis Defense: Siqin Li
Friday, April 13, 2018
9:30 a.m.
AVW 4185
For More Information:
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.

 

 

This Event is For: Graduate • Faculty

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