Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Brain Charts for the Rhesus Macaque Lifespan.

bioRxiv : the preprint server for biology·2024
Same author

Abstracts of presentations to the Annual Meetings of the Canadian Society of Colon and Rectal Surgeons Canadian Association of General Surgeons Canadian Association of Thoracic Surgeons: Canadian Surgery Forum, London, Ont., Sept. 19 to 22, 2002.

Canadian journal of surgery. Journal canadien de chirurgie·2023
Same author

The Association between Frailty and Short-Term Outcomes in an Intensive Care Unit Rehabilitation Trial: An Exploratory Analysis.

The Journal of frailty & aging·2020
Same author

Protocol adherence for continuously titrated interventions in randomized trials: an overview of the current methodology and case study.

BMC medical research methodology·2017
Same author

The monitoring of activity at home after total hip arthroplasty.

The bone & joint journal·2016
Same author

Cytochromes P450: History, Classes, Catalytic Mechanism, and Industrial Application.

Advances in protein chemistry and structural biology·2016
Same journal

Intelligent dynamic cybersecurity risk management framework with explainability and interpretability of AI models for enhancing security and resilience of digital infrastructure.

Journal of reliable intelligent environments·2025
Same journal

Secure data sharing with blockchain for remote health monitoring applications: a review.

Journal of reliable intelligent environments·2023
Same journal

Two-stage RFID approach for localizing objects in smart homes based on gradient boosted decision trees with under- and over-sampling.

Journal of reliable intelligent environments·2023
Same journal

Components of Oranta-AO software expert system for innovative application of blood pressure monitors.

Journal of reliable intelligent environments·2022
Same journal

Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya.

Journal of reliable intelligent environments·2022
Same journal

Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region.

Journal of reliable intelligent environments·2022
See all related articles

Related Experiment Video

Updated: May 29, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

Fall Detection in Smart Home Environments Using UWB Sensors and Unsupervised Change Detection.

G Mokhtari1, S Aminikhanghahi2, Q Zhang1

  • 1Australian e-Health Research Centre, CSIRO, Brisbane, Australia.

Journal of Reliable Intelligent Environments
|February 3, 2025
PubMed
Summary
This summary is machine-generated.

This study explores non-wearable Ultra-Wideband (UWB) radar sensors for fall detection in older adults. The research demonstrates a practical, sensor-free approach to enhance elder safety at home.

Keywords:
Change detectionFall detectionSmart homesUWB sensorUnsupervised learning algorithms

More Related Videos

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

6.7K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.0K

Related Experiment Videos

Last Updated: May 29, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

6.7K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.0K

Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Falls pose significant risks to older adults' health and independence.
  • Wearable sensors are common for fall detection but can be inconvenient for users.
  • Alternative, non-intrusive methods are needed for reliable fall detection in home environments.

Purpose of the Study:

  • To investigate the efficacy of non-wearable Ultra-Wideband (UWB) radar sensors for environmental fall detection.
  • To apply unsupervised change detection methods to UWB sensor data for identifying falls.
  • To evaluate the generalizability of the unsupervised approach using accelerometer data.

Main Methods:

  • Utilized unsupervised change detection algorithms on UWB radar data.
  • Applied the same unsupervised methods to accelerometer sensor data for comparative analysis.
  • Validated the approach using real-world UWB sensor data from a Living Lab and public accelerometer datasets.

Main Results:

  • The unsupervised change detection method showed promising results for fall detection using UWB radar data.
  • The approach demonstrated generality by successfully applying to accelerometer sensor data.
  • Non-wearable UWB radar offers a viable alternative to wearable sensors for home-based fall detection.

Conclusions:

  • Non-wearable UWB radar systems present a practical and effective solution for environmental fall detection in older adults.
  • Unsupervised learning methods are suitable for fall detection with UWB sensor data, offering a sensor-free approach.
  • This technology has the potential to improve safety and independence for the elderly in their homes.