A5091815258- Video Analysis and Summarization
- Sports Analytics and Performance
- Human Pose and Action Recognition
- Sports Performance and Training
- Sports Dynamics and Biomechanics
- Online and Blended Learning
- Psychosocial Factors Impacting Youth
- Environmental Sustainability in Business
- Diverse Approaches in Healthcare and Education Studies
- Video Surveillance and Tracking Methods
- Consumer Behavior in Brand Consumption and Identification
- Time Series Analysis and Forecasting
- Corporate Social Responsibility Reporting
- Sports and Physical Education Research
- Learning Styles and Cognitive Differences
- Innovative Teaching and Learning Methods
- Education and Learning Interventions
- Anomaly Detection Techniques and Applications
National Yang Ming Chiao Tung University
2017-2024
Office of Education
2013
Corporate social responsibility (CSR) plays an important role in corporate profits, reputation, and consumer attitudes; it has been identified as a critical marketing strategy for enterprise business activities sustainable development. How does CSR influence the behaviour towards profit making enterprise? This issue research topic management areas. Nevertheless, mechanisms underlying how can affect behavioural intention (CBI) have rarely addressed literature. study investigates relationship...
Computer vision based object tracking has been used to annotate and augment sports video. For automatically systematically competition data collection tactical analysis. The proposed project also includes research of visualization, connected training auxiliary devices, warehouse. Deep learning techniques will be develop video-based real-time microscopic on broadcast Machine In addition, devices including smart badminton rackets serving machines developed the IoT technology further utilize...
Identifying significant shots in a rally is important for evaluating players' performance badminton matches. While there are several studies that have quantified player other sports, analyzing data remained untouched. In this paper, we introduce language to fully describe the process of shot and propose deep learning model composed novel short-term extractor long-term encoder capturing shot-by-shot sequence by framing problem as predicting result. Our incorporates an attention mechanism...
The use of the badminton stroke strategy in evenly matched game is often key to victory. In this work, a smart racket based on wearable sensors proposed collect data swing badminton. A cell phone APP with machine learning techniques implemented record types automatically. each hit event, prototype system uses Bluetooth earphone sound for detecting accuracy time. It IMU determining type. Compared EMU only solution, will reduce false count hit. Using cloud could training and long period....
Identifying significant shots in a rally is important for evaluating players’ performance badminton matches. While there are several studies that have quantified player other sports, analyzing data has remained untouched. In this article, we introduce language to fully describe the process of shot, and propose deep-learning model composed novel short-term extractor long-term encoder capturing shot-by-shot sequence by framing problem as predicting result. Our incorporates an attention...
This study explores the relationship between scoring structure and win or loss of a badminton match, while providing quantitative analytic data using binary entropy to determine uncertainty said loss. Scoring were collected from official match records top 16 events World Badminton Championships 2006 2020 (a total 10 editions) as collection objects (745 matches 1,734 sets in all) analyzed by means notational analysis. Our analysis showed that main factor affecting certainty men’s singles,...
In this study, an affordable data collection solution is proposed for the tactical and strategic analysis of badminton. To make mass technical possible, broadcast video considered as source, intuitive efficient labeling tool designed implemented. The contribution work includes three folds. First, in response to needs next generation badminton analysis, concept Shot-By-Shot Labeling a prototype representation formulated. Second, UI designs computer vision techniques are utilized develop...
Identifying significant shots in a rally is important for evaluating players' performance badminton matches. While there are several studies that have quantified player other sports, analyzing data remained untouched. In this paper, we introduce language to fully describe the process of shot and propose deep learning model composed novel short-term extractor long-term encoder capturing shot-by-shot sequence by framing problem as predicting result. Our incorporates an attention mechanism...
AI has emerged as a potent tool of sports analysis, but there is no research yet for doubles badminton. In this paper, we introduce novel movements prediction model, namely MoCVAE, MoCVAE differentiates the setting from singles and leverages its uniqueness to improve performance. Specifically, Player Position Embedding module pre-trained with data initialize embeddings overcome scarcity data. On top CVAE-based structure, Motion Interaction further employs GAT refine based on interaction...
The issues of academic self-concept and learning strategy had been extensively explored in the past decade. purpose this research is to discuss fuzzy relationship for strategy. We apply structural equation model analysis systematic relation. results show that has significant difference on deep While negative effect surface Moreover, professional plays an important Future study may consider using Fuzzy Structural Equation Model analyzing more complex cases samples with data.
Computer vision based object tracking has been used to annotate and augment sports video. For learning training, video replay is often in post-match review training for tactical analysis movement analysis. automatically systematically competition data collection analysis, a project called CoachAI supported by the Ministry of Science Technology, Taiwan. The proposed also includes research visualization, connected auxiliary devices, warehouse. Deep techniques will be develop video-based...