ArticleIEEE access : practical innovations, open solutions2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey.
Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Activity and Behavioral Recognition Using Sensing Technology in Persons with Parkinson's Disease or Dementia: An Umbrella Review of the Literature.Sensors (Basel, Switzerland) · 2025Pooled it
- Minimal Sensor Configuration for Human Activity Recognition in Patients With Hip Osteoarthritis: Proof-of-Concept Study.JMIR biomedical engineering · 2026Article
- Siamese masked reconstruction with temporal rotation consistency for inertial-based human activity recognition.Scientific reports · 2026Article
- Multimodal Inertial-Visual Sensor Fusion over Evolutionary Deep Temporal Modeling for Humanoid Movement Recognition: A Benchmark Study Toward Sports Telerehabilitation.Bioengineering (Basel, Switzerland) · 2026Article
- Research on Two-Stream Networks Integrating Physiological Features and Attention Mechanisms for Motion Classification in Visually Impaired Individuals.Sensors (Basel, Switzerland) · 2026Article
- TransTCNet: Transformer-Based Temporal-Contextual Network for Low-Latency Typing Interfaces on Edge Devices.Biomimetics (Basel, Switzerland) · 2026Article
- Multimodal machine learning mobility assessment in Parkinson's disease within supervised and unsupervised settings.Journal of neuroengineering and rehabilitation · 2026Article
- SKS-transformer: multi-scale and direction-aware attention for inertial sensor-based activity recognition.Frontiers in sports and active living · 2026Article
- Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance.Scientific reports · 2025Article
- The application of suitable sports games for junior high school students based on deep learning and artificial intelligence.Scientific reports · 2025Article
- Recent Advancements in Rubber Composites for Physical Activity Monitoring Sensors: A Critical Review.Polymers · 2025Review
- An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device.Sensors (Basel, Switzerland) · 2025Article
- The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements.Sensors (Basel, Switzerland) · 2024Article
- A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor.Sensors (Basel, Switzerland) · 2024Article
- Human Activity Recognition Algorithm with Physiological and Inertial Signals Fusion: Photoplethysmography, Electrodermal Activity, and Accelerometry.Sensors (Basel, Switzerland) · 2024Article
- Semi-supervised ensemble learning for human activity recognition in casas Kyoto dataset.Heliyon · 2024Article
- Sports activity (SA) recognition based on error correcting output codes (ECOC) and convolutional neural network (CNN).Heliyon · 2024Article
- Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- Wearable sensors based on artificial intelligence models for human activity recognition.Frontiers in artificial intelligence · 2024Article
- Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the advance of deep learning and other machine learning algorithms has allowed researchers to use HAR in various domains including sports, health and well-being applications. For example, HAR is considered as one of the most promising assistive technology tools to support elderly's daily life by monitoring their cognitive and physical function through daily activities. This survey focuses on critical role of machine learning in developing HAR applications based on inertial sensors in conjunction with physiological and environmental sensors.
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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.