iToy: A Novel IoT System based on Smartphone and User-defined Rules
| Autor: | Geng,Jie-Fu, 耿介夫 |
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| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 Internet of Things (IoT) becomes very popular in recent years. IoT enables interaction between IoT devices, cloud server and users. The IoT devices range from small tags, sensors, smart phones to more complicated machines. Various small scale IoT applications are emerging in the market, which make our life easier and smarter. Those IoT applications usually consist of a set of IoT devices and an intelligent controller (usually a smart phone). The IoT devices are used to collect data from users or environment, while the intelligent controller is used as User Interface (UI) to interact with users. We propose a novel IoT system (called Intelligent Toy, or simply iToy) for smart phones. The iToy system consists of a smart phone, user-defined rules, sensors and devices to be controlled. Users input the rules to the iToy system, each of which has an operation and a set of conditions. According to the rules, the iToy system carries out an operation specified in a rule when the conditions in the rule are satisfied. The Intelligent Toy system can communicate with all kinds of Beacon types. Further we propose a knocking sound recognition system. Users can control things and devices through various kinds of knocking. For example, we can knock at a table to switch on a light and knock at a book to switch off TV. The knocking sound recognition system is based on a supervised learning approach. A training sample is used to construct a decision tree, and the decision tree is used to recognize knocking types from sound signals. A difficult problem for supervised learning approaches is to classify a test sample which does not belong to any class in the training sample. It is import to distinguish some sounds from knocking for our knocking recognition system because we cannot collect all kinds of sounds, such as speech, singing, and so on. We propose the distance-based and the probability-based approaches to distinguish knocking sounds and other sounds. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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