Relevé: An at-home ballet self-learning interactive system

Cenzi Wang; Stephen Jia Wang

Article Details

Relevé: An at-home ballet self-learning interactive system

Authors:

Cenzi Wang | Stephen Jia Wang

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.2 Issue 2, pp.242-248

Document Type:

Article

Publication Date:

9/2017

Document Language:

English

Document ID (Org No.):

2001523241

pISSN:

2518-6841

Abstract:

 Benefits from the recent technology advancement, such as physical computing and social media, it has become a global industry trend to provide intelligent exercise and self-learning support in an ‘at-home’ environment. However, it is still a design challenge to ensure the safety of users while enhancing their experiences when developing specific ‘at-home’ self-training programs which require high-level techniques, such as ballet dancing. This paper introduces Relevé - an interactive self-learning system for ballet with emphasis on various safety issues. Based on the professional knowledge of ballet dancing posture and kinematic movement research, Relevé intends to answer the needs of ballet dancing home-based self-teaching activities through online courses. The design has been based mainly on the methodologies of tangible interaction design.

Article Details

Relevé: An at-home ballet self-learning interactive system

Authors: Cenzi Wang | Stephen Jia Wang

Publisher: KnE Social Sciences

Journal: KnE Engineering Vol.2 Issue 2, pp.242-248

Document Type: Article

Publication Date: 9/2017

Document Language: English

Document ID (Org No.): 2001523241

pISSN: 2518-6841

Issues

Authors:

Cenzi Wang | Stephen Jia Wang

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.2 Issue 2, pp.242-248

Document Type:

Article

Publication Date:

9/2017

Document Language:

English

Document ID (Org No.):

2001523241

pISSN:

2518-6841