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This paper presents methods that use data from wearable sensors, such as those found in low-cost commodity hardware, to infer the human activity (such as ...
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Abstract—This paper presents methods that use data from wearable sensors, such as those found in low-cost commodity hardware, to infer the human activity ...
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity ...
This paper presents a generic framework to recognize the different human activities using continuous time-series multimodal sensory data of these smart gadgets.
In this paper, we propose to integrate bee swarm optimization (BSO) with a deep Q-network to perform feature selection and present a hybrid feature selection ...
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Feb 24, 2022 · This survey aims to examine all aspects of HAR based on wearable sensors, thus analyzing the applications, challenges, datasets, approaches, and components.
We used a novel wearable sensor platform that runs a real time activity inference engine to collect in situ ground truth. Our results suggest that a sampling ...
Apr 30, 2024 · Wearable Sensor-based Human Activity Recognition (WSHAR) emerges as a promising assistive technology to the healthy living of older individuals, ...
It allows easy activity samples to be predicted at shallower layers, without executing deeper layers, hence leading to notable adaptiveness in terms of accuracy ...
This research examines the feasibility of detecting natural human gestures in common daily activities. Specifically, we utilize smartwatch accelerometer sensor ...