| dc.description.abstract | Internet of Things (IoT) is a system of interrelated digital devices such as home appliances which could connect, communicate and exchange data with each other. In the past ten years IoT has become an extensively studied topic since it significantly contributes to decision-making and brings convenience and efficiency into people’s lives and homes. Meanwhile, as the growing attention to personal health, healthcare services have become more and more popular in public. As the size of healthcare device turns smaller, it has become possible for users to receive healthcare service at home. However, due to high sensitivity as well as complexity of healthcare devices, those devices are usually operated by well-trained medical personnel. Therefore, one of the biggest difficulties most users currently face is how to configure the complicated parameters for multiple purposes such as rehabilitation. In this project, we are trying to build up a system which could ease users’ life by helping users configure the healthcare device with machine learning. Through this carefully designed system with System on a Chip (SoC) which is specially developed for home devices, we aim to not only provide sustainable remote control for users from an application on smart phones but also let users decide whether to use his or her own choice or the cloud suggestion based on both big data and his or her previous treatment history as the input. In the end, we want our system to realize three main functions: (1) Users will easily tune the healthcare device at home; (2) Data is able to be uploaded to the cloud; (3) Collected data will be able to be learned on the cloud in order to generate suggestions. | en |
