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

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

460
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
460

You might also read

Related Articles

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

Sort by
Same author

Obstructive Sleep Apnea and Cardiovascular Disease: Mechanisms, Diagnostics, and Emerging Therapeutic Approaches.

Biomedicines·2026
Same author

Oxytocin attenuates respiratory depression and reduces mortality from fentanyl and the combination of xylazine-fentanyl in rats.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Magneto-optical Kerr effect in an A-type antiferromagnet.

Nature communications·2026
Same author

Oxytocin treats respiratory depression and reduces mortality from fentanyl and the combination of xylazine-fentanyl.

bioRxiv : the preprint server for biology·2026
Same author

On-Device, Continuous, Cuffless, and Accelerometer-Based Blood Pressure Monitoring.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Neonatal hypoglycaemic brain injury, a common cause of early-childhood epilepsy in India: A prospective longitudinal study on aetiologies and outcomes.

Developmental medicine and child neurology·2025
Same journal

From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same journal

CRoP: Context-wise Robust Static Human-Sensing Personalization.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same journal

Engagements with Generative AI and Personal Health Informatics: Opportunities for Planning, Tracking, Reflecting, and Acting around Personal Health Data.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same journal

SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same journal

Enabling Older Adults to Provide High-quality Activity Labels: Unpacking Accuracy, Precision, and Granularity in Activity Labeling.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same journal

The Physical Activity Assessment Using Wearable Sensors (PAAWS) Dataset: Labeled Laboratory and Free-living Accelerometer Data.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
See all related articles

Related Experiment Video

Updated: Jun 30, 2025

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.0K

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using

Swapnil Sayan Saha1, Sandeep Singh Sandha1, Siyou Pei1

  • 1University of California - Los Angeles, USA.

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
|March 22, 2024
PubMed
Summary
This summary is machine-generated.

Auritus is an open-source toolkit that simplifies developing earable applications by providing tools for data collection and optimized machine learning models. It enables real-time human activity and head-pose estimation with high accuracy on resource-constrained devices.

Keywords:
TinyMLdatasetsearablefiltershardware-in-the-loophead-posehuman activitymachine learningnetwork architecture searchneural networksoptimization

More Related Videos

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.4K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

Related Experiment Videos

Last Updated: Jun 30, 2025

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.0K
Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.4K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

Area of Science:

  • Wearable Technology
  • Machine Learning
  • Human-Computer Interaction

Background:

  • Ear-worn devices (earables) are evolving into multi-modal interfaces with onboard sensors for motion and vital signal analysis.
  • Developing sensory applications for earables is challenging due to the lack of large-scale open-source datasets and the computational constraints of the devices.
  • Existing algorithms for human activity and head-pose estimation are difficult to integrate on earables due to their limited size and processing power.

Purpose of the Study:

  • To introduce Auritus, an open-source optimization toolkit designed to overcome barriers in developing earable sensory applications.
  • To facilitate data collection, pre-processing, and labeling for customized earable datasets.
  • To enable the development of lightweight, real-time machine learning models for earable devices.

Main Methods:

  • Auritus provides graphical tools for data collection, pre-processing, and labeling, along with an open-source dataset of 2.43 million inertial samples.
  • The toolkit integrates a hardware-in-the-loop (HIL) optimizer and a TinyML interface for creating efficient machine learning models.
  • The system was validated using applications for fall detection, spatial audio rendering, and augmented reality (AR) interfacing.

Main Results:

  • Auritus achieved 91% leave-one-out test accuracy (98% test accuracy) for activity recognition using real-time models as small as 6-13 kB.
  • The developed models are significantly smaller (98-740x) and more accurate (3-6%) than state-of-the-art methods.
  • Head pose estimation achieved low absolute errors (as low as 5 degrees) using 20kB filters, with up to 1.6x precision improvement.

Conclusions:

  • Auritus effectively addresses the challenges of developing earable applications by simplifying data handling and optimizing machine learning models.
  • The open-source nature of Auritus encourages community contribution and rapid prototyping for researchers and developers.
  • The toolkit demonstrates the feasibility of deploying accurate and efficient sensory applications on resource-constrained earable devices.