Reliable recognition of activities from cluttered sensory data is challenging and important for a smart home to enable various activity-aware applications.

In this work, we aim to develop a hybrid system which is the first trial to model the relationship between an activity model and a preference model so that the ...

Jan 29, 2024 · It outperforms existing models, marking a significant advancement in using self-supervised learning to extract valuable insights from unlabeled ...

In this paper, we propose a method for smart home activity recognition with binary sensors. Our method utilizes the characteristics of binary sensors, the ...

Jan 29, 2021 · Existing activity classification approaches use the segmented information for activity recognition by exploiting different learning techniques, ...

This paper discusses the possibility of recognizing and predicting user activities in the IoT (Internet of Things) based smart environment.

Jul 22, 2020 · A data driven approach improves the precision and sensitivity in recognition of activities by capturing the representation of sensor-activations ...

... model sensibility, computational efficiency, and user preference ... Activity recognition in sensor data streams for active and assisted living environments.

In this paper we focus on activity detection in a smart home environment, more specifically on detecting entrances to a room and exits from a room in a home or ...

Context awareness enables HAR systems to respond intelligently to the varying needs and preferences of occupants in diverse living environments. By ...