ReviewSensors (Basel, Switzerland)2021
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Development of an AI-Enabled Remote Loneliness Assessment System for Older Adults Using Behavioral and Speech Data From IoT Sensors and Smart Speakers.Assessment · 2026Article
- A Reproducible Benchmark-Validity Audit and Calibration Study for Cross-Home Fault Diagnosis in Smart-Home Sensor Systems.Sensors (Basel, Switzerland) · 2026Article
- Transfer and Reinforcement Learning as Support Paradigms for Human Activity Recognition in Indoor Environments: A Comprehensive Analysis of Trends, Impact and Future Directions.Sensors (Basel, Switzerland) · 2026Review
- Sensor-Driven Deep Learning for Smart Home Intelligence: Signal Analysis, Multimodal Perception, and System-Level Applications.Sensors (Basel, Switzerland) · 2026Review
- Research on segmentation method of elderly cardiovascular disease feature images based on artificial intelligence multi-scale feature fusion.Scientific reports · 2026Article
- Privacy-Aware Meta-Optics for Person Detection.ACS photonics · 2026Article
- SimID: Wi-Fi-Based Few-Shot Cross-Domain User Recognition with Identity Similarity Learning.Sensors (Basel, Switzerland) · 2025Article
- An Algorithm for Mining the Living Habits of Elderly People Living Alone Based on AIoT.Sensors (Basel, Switzerland) · 2025Article
- Streamlining Sensor Technology: Focusing on Data Fusion and Emotion Evaluation in the e-VITA Project.Sensors (Basel, Switzerland) · 2025Review
- Human Activity Recognition Through Augmented WiFi CSI Signals by Lightweight Attention-GRU.Sensors (Basel, Switzerland) · 2025Article
- Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data.PeerJ. Computer science · 2025Article
- Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges.Sensors (Basel, Switzerland) · 2024Review
- Using Graphs to Perform Effective Sensor-Based Human Activity Recognition in Smart Homes.Sensors (Basel, Switzerland) · 2024Article
- Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms.Sensors (Basel, Switzerland) · 2024Article
- Detection of activities in bathrooms through deep learning and environmental data graphics images.Heliyon · 2024Article
- Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention.Sensors (Basel, Switzerland) · 2024Article
- Intelligent Millimeter-Wave System for Human Activity Monitoring for Telemedicine.Sensors (Basel, Switzerland) · 2024Article
- Assessing the cognitive decline of people in the spectrum of AD by monitoring their activities of daily living in an IoT-enabled smart home environment: a cross-sectional pilot study.Frontiers in aging neuroscience · 2024Article
- The Lifespan of Human Activity Recognition Systems for Smart Homes.Sensors (Basel, Switzerland) · 2023Article
- A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart homes can offer home assistance services to improve the quality of life, autonomy, and health of their residents, especially for the elderly and dependent. To provide such services, a smart home must be able to understand the daily activities of its residents. Techniques for recognizing human activity in smart homes are advancing daily. However, new challenges are emerging every day. In this paper, we present recent algorithms, works, challenges, and taxonomy of the field of human activity recognition in a smart home through ambient sensors. Moreover, since activity recognition in smart homes is a young field, we raise specific problems, as well as missing and needed contributions. However, we also propose directions, research opportunities, and solutions to accelerate advances 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.