SMRT: Multi-Resident Tracking in Smart Homes With Sensor Vectorization.

ABSTRACT: Smart homes equipped with anonymous binary sensors offer a low-cost, unobtrusive solution that powers activity-aware applications, such as building automation, health monitoring, behavioral intervention, and home security. However, when multiple residents are living in a smart home, associating sensor events with the corresponding residents can pose a major challenge. Previous approaches to multi-resident tracking in smart homes rely on extra information, such as sensor layouts, floor plans, and annotated data, which may not be available or inconvenient to obtain in practice. To address those challenges in real-life deployment, we introduce the sMRT algorithm that simultaneously tracks the location of each resident and estimates the number of residents in the smart home, without relying on

SUBMITTER: Wang T 

PROVIDER: S-EPMC7423766 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature