Internet of things-assisted advanced dynamic information processing system for physical education system
| Autor: | Zhijun Sun, Sujatha Krishnamoorthy, Seifedine Kadry |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Internet of Things Biomedical Engineering Biophysics Wearable computer Health Informatics Bioengineering 02 engineering and technology computer.software_genre Domain (software engineering) Physical education Biomaterials Wearable Electronic Devices 0202 electrical engineering electronic engineering information engineering Humans Exercise Physical Education and Training Multimedia business.industry 020208 electrical & electronic engineering Health condition Information processor Information processing 020206 networking & telecommunications Health information business computer Information Systems |
| Zdroj: | Technology and Health Care. 29:1263-1275 |
| ISSN: | 1878-7401 0928-7329 |
| Popis: | BACKGROUND: In recent years the Internet of Things (IoT) has become a popular technological culture in the physical education system. Though several technologies have grown in the physical education system domain, IoT plays a significant role due to its optimized health information processing framework for students during workouts. OBJECTIVE: In this paper, an advanced dynamic information processing system (ADIPS) has been proposed with IoT assistance to explore the traditional design architecture for physical activity tracking. METHOD: To track and evaluate human physical activity in day-to-day living, a new paradigm has been integrated with wearable IoT devices for effective information processing during physical workouts. Continuous observation and review of the condition and operations of various students by ADIPS helps to evaluate the sensed information to analyze the health condition of the students. RESULTS: The result of ADIPS has been implemented based on the performance factor correlation with the traditional system. |
| Databáze: | OpenAIRE |
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