@inproceedings{dde4a2daeaaa4322b67441d0d18ca501,
title = "Cloud-connected smart wearables: A case study",
abstract = "Wearable devices are steadily seeping into consumer markets, with each device being more featurerich than the last. With the steadily decreasing cost of wearables on the market, large scale datamining is no longer a distant dream. This means that while large amount of data could be generated, it is still difficult and time-consuming to process and analyze. It is identified that the lackluster presence of these devices in the field of product development and research settings is due to the absence of a process to handle all the data being generated, making subsequent analysis of the acquired data both time-consuming and difficult to accomplish. This paper presents a cloudbased approach to data acquisition and subsequent analysis based on the case study of a smart wearable in a seamless manner. It further identifies the three important aspects of data acquisition using cloud-based wearables: 1) real-time feedback such that acquired data is almost instantly stored for post processing; 2) distributed usage with support for a large number of concurrent users and 3) inclusion of relevant post-processing seamlessly into the process.",
keywords = "Cloud, Internet of Things, Wearable",
author = "Lin, {Tzu Jui} and Pai Zheng and Xun Xu",
year = "2017",
month = jan,
day = "1",
language = "English",
series = "Proceedings of International Conference on Computers and Industrial Engineering, CIE",
publisher = "Curran Associates Inc.",
editor = "Mohamed Dessouky and Antonio Grilo and Virgilio Cruz-Machado",
booktitle = "Proceedings - 47th International Conference on Computers and Industrial Engineering",
note = "47th International Conference on Computers and Industrial Engineering: How Digital Platforms and Industrial Engineering are Transforming Industry and Services, CIE 2017 ; Conference date: 11-10-2017 Through 13-10-2017",
}