ArticleSensors (Basel, Switzerland)2020
Room-Level Fall Detection Based on Ultra-Wideband (UWB) Monostatic Radar and Convolutional Long Short-Term Memory (LSTM).
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 65 citations in OpenAlex.
- FPGA Implementation of a Radar-Based Fall Detection System Using Binarized Convolutional Neural Networks.Sensors (Basel, Switzerland) · 2026Article
- Ethics of Sensor-Based Surveillance of People with Dementia in Clinical Practice.Sensors (Basel, Switzerland) · 2025Article
- Radar-Based Fall Detection: A Survey.IEEE robotics & automation magazine · 2024Article
- Tag-free indoor fall detection using transformer network encoder and data fusion.Scientific reports · 2024Article
- Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring.Sensors (Basel, Switzerland) · 2022Review
- Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements.Sensors (Basel, Switzerland) · 2022Article
- Pathway of Trends and Technologies in Fall Detection: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
- High Accuracy WiFi-Based Human Activity Classification System with Time-Frequency Diagram CNN Method for Different Places.Sensors (Basel, Switzerland) · 2021Article
- Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole.Sensors (Basel, Switzerland) · 2021Article
- IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm.Sensors (Basel, Switzerland) · 2020Article
- Privacy-Preserved Fall Detection Method with Three-Dimensional Convolutional Neural Network Using Low-Resolution Infrared Array Sensor.Sensors (Basel, Switzerland) · 2020Article
- New Approach of UAV Movement Detection and Characterization Using Advanced Signal Processing Methods Based on UWB Sensing.Sensors (Basel, Switzerland) · 2020Article
- Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Timely calls for help can really make a difference for elders who suffer from falls, particularly in private locations. Considering privacy protection and convenience for the users, in this paper, we approach the problem by using impulse-radio ultra-wideband (IR-UWB) monostatic radar and propose a learning model that combines convolutional layers and convolutional long short term memory (ConvLSTM) to extract robust spatiotemporal features for fall detection. The performance of the proposed scheme was evaluated in terms of accuracy, sensitivity, and specificity. The results show that the proposed method outperforms convolutional neural network (CNN)-based methods. Of the six activities we investigated, the proposed method can achieve a sensitivity of 95% and a specificity of 92.6% at a range of 8 meters. Further tests in a heavily furnished lounge environment showed that the model can detect falls with more than 90% sensitivity, even without re-training effort. The proposed method can detect falls without exposing the identity of the users. Thus, the proposed method is ideal for room-level fall detection in privacy-prioritized scenarios.
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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.