Implementation of SVM broken prediction notification system with park sport equipment
| Autor: | Jui-Chung Hung, Wei-Chen Sun, Chih-Peng Huang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
sports equipment
Engineering business.industry education 020208 electrical & electronic engineering 02 engineering and technology Notification system computer.software_genre Machine learning law.invention Support vector machine Bluetooth Empirical research law Frequency domain 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Artificial intelligence Internet of Things business computer Classifier (UML) |
| Zdroj: | 2017 International Conference on Applied System Innovation (ICASI). |
| DOI: | 10.1109/icasi.2017.7988356 |
| Popis: | Outdoor sports equipment without maintenance usually caused injury to users. This paper proposes to design an App notification system combine with IoT to monitor the equipment status. We converted our action signal into frequency domain for analysis. But the useless signal might decline classifier efficiency. Therefore we propose an empirical support vector machine (SVM) to reduce the useless signal. We compare our method with the other method. Our method has better efficient and use this method apply on notification App. |
| Databáze: | OpenAIRE |
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