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 Experiment Video

Updated: Jul 5, 2025

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.6K

Angle Assessment for Upper Limb Rehabilitation: A Novel Light Detection and Ranging (LiDAR)-Based Approach.

Luan C Klein1,2, Arezki Abderrahim Chellal1,3, Vinicius Grilo1

  • 1Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
Summary

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

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control.

Sensors (Basel, Switzerland)·2025
Same author

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms.

Sensors (Basel, Switzerland)·2024
Same author

A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition.

Sensors (Basel, Switzerland)·2023
Same author

Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System.

Sensors (Basel, Switzerland)·2023
Same author

Robot-Assisted Rehabilitation Architecture Supported by a Distributed Data Acquisition System.

Sensors (Basel, Switzerland)·2022
Same author

EMG Signal Processing for the Study of Localized Muscle Fatigue-Pilot Study to Explore the Applicability of a Novel Method.

International journal of environmental research and public health·2022

This study explored a hybrid camera and LiDAR approach for measuring joint angles in physical therapy, finding slight accuracy improvements over image-only methods but with increased costs and reduced fluidity. Further research is needed to assess its practical viability.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Computer Vision

Background:

  • Accurate joint angle measurement is vital for physiotherapy decision-making.
  • Current visual inspection methods for angle assessment are prone to significant errors.
  • There is a need for more precise and reliable joint angle measurement techniques.

Purpose of the Study:

  • To investigate a novel hybrid approach combining camera and LiDAR technology for joint angle calculation.
  • To evaluate the accuracy and practicality of this AI-driven hybrid method in patient rehabilitation settings.

Main Methods:

  • A hybrid system integrating camera (image data) and LiDAR (point cloud data) was developed.
  • Artificial intelligence (AI) techniques were employed for joint identification and angle computation.
Keywords:
Artificial IntelligenceLiDARjoin angle measurementmotion capturerobotic rehabilitation

More Related Videos

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.0K
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

12.5K

Related Experiment Videos

Last Updated: Jul 5, 2025

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.6K
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.0K
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

12.5K
  • Testing involved various exercises from different perspectives and distances.
  • Main Results:

    • The hybrid camera-LiDAR approach demonstrated a slight improvement in angle calculation accuracy compared to YOLO v7 (image-based).
    • The system incurred higher costs due to specialized equipment (LiDAR).
    • A decrease in fluidity during exercise performance was observed.

    Conclusions:

    • The hybrid camera-LiDAR method shows potential for improved joint angle measurement in rehabilitation.
    • The current cost-benefit analysis raises questions about its widespread adoption.
    • Further exploration is warranted to optimize the methodology and address limitations.