Multi-sensor dataset of human activities in a smart home environment.

ABSTRACT: Time series data acquired from sensors deployed in smart homes present valuable information for intelligent systems to learn activity patterns of occupants. With the increasing need to enable people to age in place independently, the availability of such data is key to the development of home monitoring solutions. In this article we describe an unlabelled dataset of measurements collected from multiple environmental sensors placed in a smart home to capture human activities of daily living. Various sensors were used including passive infrared, force sensing resistors, reed switches, mini photocell light sensors, temperature and humidity, and smart plugs. The sensors record data from the user's interactions with the environment, such as indoor movements, pressure applied on the bed, or curr

SUBMITTER: Chimamiwa G 

PROVIDER: S-EPMC7758366 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature