ReviewComputational intelligence and neuroscience2022
Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System.
Review in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed.
- Adaptive Convolutional Neural Network-Enhanced Scale-Fusion Network for Human Activity Recognition Using Wearable Sensors.Sensors (Basel, Switzerland) · 2026Article
- Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis.Biosensors · 2026Review
- Textile suit for anywhere full-body motion capture.Science advances · 2026Article
- Adaptive temporal attention mechanism and hybrid deep CNN model for wearable sensor-based human activity recognition.Scientific reports · 2025Article
- An investigation of simple neural network models using smartphone signals for recognition of manual industrial tasks.Scientific reports · 2025Article
- Wearable Sensors and Artificial Intelligence for the Diagnosis of Parkinson's Disease.Journal of clinical medicine · 2025Article
- Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization.Sensors (Basel, Switzerland) · 2024Article
- HARE: Unifying the Human Activity Recognition Engineering Workflow.Sensors (Basel, Switzerland) · 2023Article
- Smart Detecting and Versatile Wearable Electrical Sensing Mediums for Healthcare.Sensors (Basel, Switzerland) · 2023Review
- Empirical Mode Decomposition and Hilbert Spectrum for Abnormality Detection in Normal and Abnormal Walking Transitions.International journal of environmental research and public health · 2023Article
- Human Activity Recognition for AI-Enabled Healthcare Using Low-Resolution Infrared Sensor Data.Sensors (Basel, Switzerland) · 2023Article
- Assessing Impact of Sensors and Feature Selection in Smart-Insole-Based Human Activity Recognition.Methods and protocols · 2022Article
- A Comprehensive Review on Smart Health Care: Applications, Paradigms, and Challenges with Case Studies.Contrast media & molecular imaging · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human activity recognition (HAR) has been of interest in recent years due to the growing demands in many areas. Applications of HAR include healthcare systems to monitor activities of daily living (ADL) (primarily due to the rapidly growing population of the elderly), security environments for automatic recognition of abnormal activities to notify the relevant authorities, and improve human interaction with the computer. HAR research can be classified according to the data acquisition tools (sensors or cameras), methods (handcrafted methods or deep learning methods), and the complexity of the activity. In the healthcare system, HAR based on wearable sensors is a new technology that consists of three essential parts worth examining: the location of the wearable sensor, data preprocessing (feature calculation, extraction, and selection), and the recognition methods. This survey aims to examine all aspects of HAR based on wearable sensors, thus analyzing the applications, challenges, datasets, approaches, and components. It also provides coherent categorizations, purposeful comparisons, and systematic architecture. Then, this paper performs qualitative evaluations by criteria considered in this system on the approaches and makes available comprehensive reviews of the HAR system. Therefore, this survey is more extensive and coherent than recent surveys in this field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.