QQ客服 官方微博 反馈留言

	Activity Recognition Based on Deep Learning and Android Software
	Chuang Lin; Mo Yang; Chao Wang
	2018
会议日期	2018
会议地点	深圳
英文摘要	This project transplants the deep learning framework to the android platform. It combines Deep learning based on Tensor Flow (TF) with Android software to recognize people’s activities. Provided by android sensors, dataset is in the form of float arrays. And then we used them to train TF model with the data that was tagged by the different actions. Then we transplant the model into android to achieve activity recognition in mobile phone. In this project, six activities are recognized, including downstairs, upstairs, jogging, walking, sitting and standing. Finally, the probability of each activity will be seen in an android mobile phone. According to the results of experiments, almost all of six types of activities can be recognized successfully.
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14472]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Chuang Lin,Mo Yang,Chao Wang. Activity Recognition Based on Deep Learning and Android Software[C]. 见:. 深圳. 2018.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。