Real-Time Gesture Recognition Based On Motion Quality Analysis
Journal Title: EAI Endorsed Transactions on e-Learning - Year 2015, Vol 2, Issue 8
Abstract
This paper presents a robust and anticipative real-time gesture recognition and its motion quality analysis module. By utilizing a motion capture device, the system recognizes gestures performed by a human, where the recognition process is based on skeleton analysis and motion features computation. Gestures are collected from a single person. Skeleton joints are used to compute features which are stored in a reference database, and Principal Component Analysis (PCA) is computed to select the most important features, useful in discriminating gestures. During real-time recognition, using distance measures, real-time selected features are compared to the reference database to find the most similar gesture. Our evaluation results show that: i) recognition delay is similar to human recognition delay, ii) our module can recognize several gestures performed by different people and is morphology-independent, and iii) recognition rate is high: all gestures are recognized during gesture stroke. Results also show performance limits
Authors and Affiliations
Céline Jost, Igor Stankovic, Pierre De Loor, Alexis Nédélec, Elisabetta Bevacqua
Keywords
Related Articles
- EP ID EP45957
- DOI http://dx.doi.org/10.4108/icst.intetain.2015.259608
- Views 304
- Downloads 0
Studying lecturers’ behaviour patterns in Learning Management System on different training modalities and knowledge areas
Learning Management Systems (LMS) have become the principal resource for collaboration among lecturers and students in Higher Education. A research line is the analysis of LMS users’ behaviour with the goal of developing...
Learning and gamification: a possible relationship?
One of the most interesting and disruptive trends in the current elearning scenario is gamification, that is, the use of game design elements in non-game contexts. After providing a brief overview of the main contemporar...
A Qualitative Exploration of the DIGCOMP Digital Competence Framework: Attitudes of students, academics and administrative staff in the health faculty of a UK HEI
This paper reports upon findings of a series of semi-structured interviews with students, academics and administrative staff from a health care faculty in a UK Higher Education Institution (HEI). Exploring their experien...
Raising engagement and motivation through gamified eportfolio in Kolej Profesional MARA (KPM), Malaysia: A Preliminary Survey
The gamification of e-portfolios is an educational approach to motivate students to learn by using game elements in online portfolios. The goal is to increase enjoyment and engagement through capturing the interest of le...
Personality and Learning Effectiveness of Teams in Information Systems Education Courses
The goal of this paper is to clarify the optimal combination of team members to maximize the learning effectiveness in information systems education courses. We surveyed the correlation of students’ five factor model per...