ReviewSensors (Basel, Switzerland)2018
Ambient Sensors for Elderly Care and Independent Living: A Survey.
Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 163 citations in OpenAlex.
- Privacy-Preserving Ambient Sensing for Activities of Daily Living: Multimodal Radar-Thermal Human Activity Recognition and Smart Plug Appliance Recognition.Sensors (Basel, Switzerland) · 2026Article
- Research of Fall Detection and Fall Prevention Technologies: A Review.Sensors (Basel, Switzerland) · 2026Review
- Detecting changes in health and daily activities using environmental and electricity sensors and machine learning.Health and technology · 2026Article
- Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review.BMC geriatrics · 2025Article
- Radar-Based Activity Recognition in Strictly Privacy-Sensitive Settings Through Deep Feature Learning.Biomimetics (Basel, Switzerland) · 2025Article
- Patient and public involvement in the co-design and assessment of unobtrusive sensing technologies for care at home: a user-centric design approach.BMC geriatrics · 2025Article
- Mobile health applications for older people in Asia: protocol for a systematic review of end-user perceptions and recommendations.BMJ open · 2025Article
- Indoor Infrared Sensor Layout Optimization for Elderly Monitoring Based on Fused Genetic Gray Wolf Optimization (FGGWO) Algorithm.Sensors (Basel, Switzerland) · 2024Article
- Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial.JMIR cardio · 2024Article
- Exploiting the features of deep residual network with SVM classifier for human posture recognition.PloS one · 2024Article
- Article
- Enabling Remote Elderly Care: Design and Implementation of a Smart Energy Data System with Activity Recognition.Sensors (Basel, Switzerland) · 2023Article
- Survey on the Acceptance of Ambient Sensors in Solo and Older Couple-Only Households in Japan.Sensors (Basel, Switzerland) · 2023Article
- Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project.Sensors (Basel, Switzerland) · 2023Article
- Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics.Sensors (Basel, Switzerland) · 2023Article
- Sustainable Health-Related Quality of Life in Older Adults as Supported by the vINCI Technology.Sensors (Basel, Switzerland) · 2023Article
- The role of digital transformation in addressing health inequalities in coastal communities: barriers and enablers.Frontiers in health services · 2023Review
- Feasibility and efficacy of TouchCare system using application for older adults living alone: a pilot pre-experimental study.BMC geriatrics · 2022Article
- HMM-Based Action Recognition System for Elderly Healthcare by Colorizing Depth Map.International journal of environmental research and public health · 2022Article
- Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition.Sensors (Basel, Switzerland) · 2022Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. Technologies that assist the elderly in independent living are essential for enhancing care in a cost-effective and reliable manner. Elderly care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the elderly care system in the literature to identify current practices for future research directions. Therefore, this work is aimed at a comprehensive survey of non-wearable (i.e., ambient) sensors for various elderly care systems. This research work is an effort to obtain insight into different types of ambient-sensor-based elderly monitoring technologies in the home. With the aim of adopting these technologies, research works, and their outcomes are reported. Publications have been included in this survey if they reported mostly ambient sensor-based monitoring technologies that detect elderly events (e.g., activities of daily living and falls) with the aim of facilitating independent living. Mostly, different types of non-contact sensor technologies were identified, such as motion, pressure, video, object contact, and sound sensors. Besides, multicomponent technologies (i.e., combinations of ambient sensors with wearable sensors) and smart technologies were identified. In addition to room-mounted ambient sensors, sensors in robot-based elderly care works are also reported. Research that is related to the use of elderly behavior monitoring technologies is widespread, but it is still in its infancy and consists mostly of limited-scale studies. Elderly behavior monitoring technology is a promising field, especially for long-term elderly care. However, monitoring technologies should be taken to the next level with more detailed studies that evaluate and demonstrate their potential to contribute to prolonging the independent living of elderly people.
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.