ReviewSensors (Basel, Switzerland)2022
Human Activity Recognition: Review, Taxonomy and Open Challenges.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Article
- A Vision-Based Deep Learning Framework for Monitoring and Recognition of Chemical Laboratory Operations.Sensors (Basel, Switzerland) · 2026Article
- Spatiotemporal deep learning framework for predictive behavioral threat detection in surveillance footage.Frontiers in big data · 2026Article
- Intelligent routing for human activity recognition in wireless body area networks.Scientific reports · 2025Article
- Wearable sensors-based assistive technologies for patient health monitoring.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- BodyFlow: An Open-Source Library for Multimodal Human Activity Recognition.Sensors (Basel, Switzerland) · 2024Article
- Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary Investigation.Sensors (Basel, Switzerland) · 2024Article
- A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique.Sensors (Basel, Switzerland) · 2024Article
- Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization.Sensors (Basel, Switzerland) · 2024Article
- Human Activity Recognition in a Free-Living Environment Using an Ear-Worn Motion Sensor.Sensors (Basel, Switzerland) · 2024Article
- Detection of activities in bathrooms through deep learning and environmental data graphics images.Heliyon · 2024Article
- HARE: Unifying the Human Activity Recognition Engineering Workflow.Sensors (Basel, Switzerland) · 2023Article
- Machine Learning-Based Human Posture Identification from Point Cloud Data Acquisitioned by FMCW Millimetre-Wave Radar.Sensors (Basel, Switzerland) · 2023Article
- Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy.Sensors (Basel, Switzerland) · 2023Review
- Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing.Sensors (Basel, Switzerland) · 2023Review
- Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study.Sensors (Basel, Switzerland) · 2023Review
- Effect of Equipment on the Accuracy of Accelerometer-Based Human Activity Recognition in Extreme Environments.Sensors (Basel, Switzerland) · 2023Article
- Human Activity Recognition with an HMM-Based Generative Model.Sensors (Basel, Switzerland) · 2023Article
- Human Activity Recognition for AI-Enabled Healthcare Using Low-Resolution Infrared Sensor Data.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains, and vision and sensor-based data enable cutting-edge technologies to detect, recognize, and monitor human activities. Several reviews and surveys on HAR have already been published, but due to the constantly growing literature, the status of HAR literature needed to be updated. Hence, this review aims to provide insights on the current state of the literature on HAR published since 2018. The ninety-five articles reviewed in this study are classified to highlight application areas, data sources, techniques, and open research challenges in HAR. The majority of existing research appears to have concentrated on daily living activities, followed by user activities based on individual and group-based activities. However, there is little literature on detecting real-time activities such as suspicious activity, surveillance, and healthcare. A major portion of existing studies has used Closed-Circuit Television (CCTV) videos and Mobile Sensors data. Convolutional Neural Network (CNN), Long short-term memory (LSTM), and Support Vector Machine (SVM) are the most prominent techniques in the literature reviewed that are being utilized for the task of HAR. Lastly, the limitations and open challenges that needed to be addressed are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.