论文部分内容阅读
介绍一种基于物联网的音乐系统的设计与实现。系统采用ARM920TS3C2410嵌入式处理器和WinCE OS来实现中央控制模块,再根据ZigBee2007/PRO网络标准构建传感网络,并通过RFID射频识别技术对光线、声音、红外传感、温度等传感器进行信息读取,最后结合音乐心理学原理和用户行为日志进行音乐选择逻辑设计,而最终为用户选择最佳的音乐以改善用户心情,提高其生活质量以及工作学习效率。同时,该系统采用语音识别技术来增强用户交互。
Describes the design and implementation of a music system based on Internet of Things. The system uses ARM920TS3C2410 embedded processor and WinCE OS to realize the central control module, then builds the sensor network according to the ZigBee2007 / PRO network standard, and reads the information of light, sound, infrared sensor, temperature sensor through RFID radio frequency identification technology Finally, we combine music psychology theory with user behavior log to design music selection logic, and finally choose the best music for users to improve the mood of users and improve their quality of life and work-study efficiency. At the same time, the system uses voice recognition technology to enhance user interaction.