Shih, Chi ShengChi ShengShihWang, Tim YuaoTim YuaoWangChou, Jyun JheJyun JheChouChuang, Ze YuZe YuChuangChuang, Ching ChiChing ChiChuangLin, Kwei JayKwei JayLinWEI-DEAN WANGCHI-SHENG SHIH2020-03-052020-03-052017-09-209781450350273https://scholars.lib.ntu.edu.tw/handle/123456789/470157© 2017 Association for Computing Machinery. Gait velocity has become a valid and important metric for senior populations. However, existing approaches to measure gait velocity are either limited to specific location or too expensive to be applied. IoT middleware allows the systems to collect data in a large space in a collaborative manner. However, it is a great challenge of integrating large numbers of low-cost devices to accomplish the task. This paper presents the design, implementation, and findings of using low-cost thermal sensors to monitor the activity index in home environment. The system is built on top of WuKong middleware. The evaluation results show that the system can measure the gait velocity with negligible errors. When the parameters for noise filtering are correctly configured, the F-Score of the heat source detection can achieve 0.99.enComputer Communication Networks | Computer Systems Organization | Internetworkingconference paper10.1145/3129676.31296962-s2.0-85043348861https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043348861&doi=10.1145%2f3129676.3129696&partnerID=40&md5=5ba88437f88168880aad5891b510f056