DeepAI
Log In Sign Up

Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph

12/09/2009
by   Kazumoto Tanaka, et al.
0

This paper proposes a method of gesture recognition with a focus on important actions for distinguishing similar gestures. The method generates a partial action sequence by using optical flow images, expresses the sequence in the eigenspace, and checks the feature vector sequence by applying an optimum path-searching method of weighted graph to focus the important actions. Also presented are the results of an experiment on the recognition of similar sign language words.

READ FULL TEXT
05/21/2019

Improved Optical Flow for Gesture-based Human-robot Interaction

Gesture interaction is a natural way of communicating with a robot as an...
04/01/2019

Surgical Gesture Recognition with Optical Flow only

In this paper, we address the open research problem of surgical gesture ...
08/17/2020

Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures

Communicative gestures and speech prosody are tightly linked. Our object...
09/15/2015

Free-body Gesture Tracking and Augmented Reality Improvisation for Floor and Aerial Dance

This paper describes an updated interactive performance system for floor...