A framework for correcting human motion alignment for traditional dance training using augmented reality
This paper presents a framework for motion capture analysis for dance learning technology using Microsoft Kinect V2. The proposed technology utilizes motion detection, emotion analysis, coordination analysis and interactive feedback techniques for a particular dance style selected by the trainee...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/20029/1/KMICe2016%2059%2063.pdf http://repo.uum.edu.my/20029/ http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | This paper presents a framework for motion capture
analysis for dance learning technology using Microsoft Kinect V2. The proposed technology
utilizes motion detection, emotion analysis,
coordination analysis and interactive feedback
techniques for a particular dance style selected by the trainee.This motion capture system solves the
heterogeneity of the existing dance learning system
and hence provides robustness. The analysis of the
proposed work is carried out using query techniques
and heuristic evaluation. The Microsoft Kinect V2
embedded with Augmented Reality (AR) technology
is explored to demonstrate the recognition accuracy
of the proposed framework. |
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