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Article
Publication date: 10 October 2016

Chung-Ju Huang, Chien-Chih Chou and Tsung-Min Hung

The purpose of this paper is to examine how the levels of athletic identity influenced the relationships among college experiences, career self-efficacy, and the career barriers…

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Abstract

Purpose

The purpose of this paper is to examine how the levels of athletic identity influenced the relationships among college experiences, career self-efficacy, and the career barriers faced by semi-professional student-athletes in Taiwan.

Design/methodology/approach

Survey data of athletic identity, college experiences (involvement in social, academic, career orientation activities, etc.), career self-efficacy, and career barriers (inherent difficulties in career exploration in a dual student-professional role) were collected from 345 varsity student-athletes in Taiwan sport universities. The conditional process analysis was conducted to test whether the mediating role of career self-efficacy in the association between college experiences and career barriers was dependent on athletic identity levels.

Findings

The results indicated that enriching college experiences contributed to fewer barriers regarding career exploration post graduation through high levels of career self-efficacy. Particularly for assorted and social experiences, the indirect effect reduced as the levels of athletic identity increased.

Practical implications

These findings may be applied to athletes who pursue early specialization and students who engage heavily in a specific sport or other co-curricular activities while neglecting the importance of scholastic learning and career exploration. Career counseling practitioners and sport psychologists are advised to take account of athletic identity and contextual specificity while providing career interventions to student-athletes.

Originality/value

This study extends the understanding of the impacts of athletic identity on college student-athletes’ career explorations within a specific sport context.

Details

Career Development International, vol. 21 no. 6
Type: Research Article
ISSN: 1362-0436

Keywords

Article
Publication date: 28 October 2014

Ming-Yuan Shieh, Chung-Yu Hsieh and Tsung-Min Hsieh

The purpose of this paper is to propose a fast object detection algorithm based on structural light analysis, which aims to detect and recognize human gesture and pose and then to…

Abstract

Purpose

The purpose of this paper is to propose a fast object detection algorithm based on structural light analysis, which aims to detect and recognize human gesture and pose and then to conclude the respective commands for human-robot interaction control.

Design/methodology/approach

In this paper, the human poses are estimated and analyzed by the proposed scheme, and then the resultant data concluded by the fuzzy decision-making system are used to launch respective robotic motions. The RGB camera and the infrared light module aim to do distance estimation of a body or several bodies.

Findings

The modules not only provide image perception but also objective skeleton detection. In which, a laser source in the infrared light module emits invisible infrared light which passes through a filter and is scattered into a semi-random but constant pattern of small dots which is projected onto the environment in front of the sensor. The reflected pattern is then detected by an infrared camera and analyzed for depth estimation. Since the depth of object is a key parameter for pose recognition, one can estimate the distance to each dot and then get depth information by calculation of distance between emitter and receiver.

Research limitations/implications

Future work will consider to reduce the computation time for objective estimation and to tune parameters adaptively.

Practical implications

The experimental results demonstrate the feasibility of the proposed system.

Originality/value

This paper achieves real-time human-robot interaction by visual detection based on structural light analysis.

Details

Engineering Computations, vol. 31 no. 8
Type: Research Article
ISSN: 0264-4401

Keywords

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