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

Personal Health Data in Healthcare: Important Factors Considered by Health Students-A Qualitative Study.

Healthcare (Basel, Switzerland)·2026
Same author

U<b>se of benzodiazepines and medications for opioid use disorder for withdrawal management in a hospital-based setting for individuals exposed to benzodiazepine-contaminated fentanyl: A case serie</b>s.

Drug and alcohol dependence reports·2026
Same author

Point-of-care ultrasound in Canadian anesthesiology residency programs: a follow-up survey.

Canadian journal of anaesthesia = Journal canadien d'anesthesie·2026
Same author

Implementation of digital tuberculosis information systems: perspectives from 10 high TB burden countries.

BMC infectious diseases·2026
Same author

Physically Informed 3D Food Reconstruction: Methods and Results.

IEEE journal of biomedical and health informatics·2026
Same author

Human Papillomavirus Self-Sampling Attitudes Amongst Women Living with HIV Prior to a Self-Sampling Intervention.

Cancers·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 15, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K

Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar.

Hajar Abedi1, Jennifer Boger1, Plinio Pelegrini Morita2

  • 1Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary
This summary is machine-generated.

A new radar system extracts gait parameters for older adults, detecting mobility changes. This technology enables continuous monitoring in hallways to assess health and prevent falls.

Keywords:
FMCW radardielectric lens antennagait extractionspatiotemporal gait parameters

More Related Videos

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.0K
Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

10.4K

Related Experiment Videos

Last Updated: Aug 15, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.0K
Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

10.4K

Area of Science:

  • Biomedical Engineering
  • Gerontology
  • Signal Processing

Background:

  • Gait analysis is crucial for monitoring older adults' health, mobility, and frailty.
  • Current methods may be intrusive or require specialized environments.
  • Hallways in retirement homes offer a practical setting for continuous monitoring.

Purpose of the Study:

  • To develop a novel hallway gait extraction system using a single Frequency Modulated Continuous Wave (FMCW) radar.
  • To enable accurate spatiotemporal gait parameter extraction for each gait cycle.
  • To facilitate early detection of changes in mobility, cognition, and frailty in older adults.

Main Methods:

  • Designed an integrated radar module with a hyperbola-based lens antenna for in-corridor coverage.
  • Developed a fast and easy-to-implement gait extraction algorithm.
  • Validated the system by capturing gait parameters of individuals walking in a hallway.

Main Results:

  • Successfully extracted spatiotemporal gait values including speed, step points, step time, step length, and step count.
  • Demonstrated the system's functionality in a hallway environment.
  • Achieved accurate gait parameter extraction using a single FMCW radar unit.

Conclusions:

  • The developed system offers a non-intrusive, stand-alone solution for long-term gait monitoring.
  • This technology has significant potential for application in retirement homes and individual residences.
  • Enables continuous, day-to-day monitoring to support the health and safety of older adults.