A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living

Author:

Bouchabou Damien12ORCID,Grosset Juliette13ORCID,Nguyen Sao Mai13ORCID,Lohr Christophe1ORCID,Puig Xavier4

Affiliation:

1. IMT Atlantique, 44300 Nantes, France

2. U2IS, ENSTA Paris, 91120 Palaiseau, France

3. ECAM Rennes, 35170 Bruz, France

4. FAIR, Menlo Park, CA 94025, USA

Abstract

One of the challenges in the field of human activity recognition in smart homes based on IoT sensors is the variability in the recorded data. This variability arises from differences in home configurations, sensor network setups, and the number and habits of inhabitants, resulting in a lack of data that accurately represent the application environment. Although simulators have been proposed in the literature to generate data, they fail to bridge the gap between training and field data or produce diverse datasets. In this article, we propose a solution to address this issue by leveraging the concept of digital twins to reduce the disparity between training and real-world data and generate more varied datasets. We introduce the Virtual Smart Home, a simulator specifically designed for modeling daily life activities in smart homes, which is adapted from the Virtual Home simulator. To assess its realism, we compare a set of activity data recorded in a real-life smart apartment with its replication in the VirtualSmartHome simulator. Additionally, we demonstrate that an activity recognition algorithm trained on the data generated by the VirtualSmartHome simulator can be successfully validated using real-life field data.

Funder

Brest Metropole, the region of Brittany and the European Regional Development Fund

Delta Dore

National Association of Technical Research

AID Project ACoCaTherm

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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1. A Digital Twin to Enhance Energy Consumption Awareness in a Smart Home;Proceedings of the 2024 International Conference on Advanced Visual Interfaces;2024-06-03

2. Wearable Sensor-Based Residual Multifeature Fusion Shrinkage Networks for Human Activity Recognition;Sensors;2024-01-24

3. Door Locking System Based on Fingerprint and LoRa Wireless Technology;2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter);2023-12-11

4. Microstructure and Mechanical Properties of Cost-Efficient 3D Printed Concrete Reinforced with Polypropylene Fibers;Buildings;2023-11-09

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