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

Vector Transformation in Rotating Coordinate Systems01:16

Vector Transformation in Rotating Coordinate Systems

2.7K
Consider a vector rotating about an axis with an angular velocity, such that its tip sweeps a circular path.
2.7K
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.8K
B Cell Activation and Differentiation01:24

B Cell Activation and Differentiation

16.8K
The adaptive immune response, a sophisticated defense mechanism, relies on the activation and differentiation of B lymphocytes, or B cells. These processes enable our bodies to mount a tailored response against specific pathogens such as bacteria, free virus particles, toxins, and parasites.
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...
16.8K
Measurement: Standard Units03:38

Measurement: Standard Units

80.9K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
80.9K
Linear time-invariant Systems01:23

Linear time-invariant Systems

934
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
934
Measurement: Derived Units03:02

Measurement: Derived Units

55.7K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
55.7K

You might also read

Related Articles

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

Sort by
Same author

Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination.

Sensors (Basel, Switzerland)·2025
Same author

Game-Theoretic Motion Planning with Perception Uncertainty and Right-of-Way Constraints.

Sensors (Basel, Switzerland)·2025
Same author

Exploring the Importance and Performance Priorities of Older Adults With a User-Centred Approach to Create a Fall-Free Bathroom.

International journal of older people nursing·2024
Same author

Unsupervised Stereo Matching with Surface Normal Assistance for Indoor Depth Estimation.

Sensors (Basel, Switzerland)·2023
Same author

Adaptive Linear Quadratic Attitude Tracking Control of a Quadrotor UAV Based on IMU Sensor Data Fusion.

Sensors (Basel, Switzerland)·2018
Same author

Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors.

Sensors (Basel, Switzerland)·2017
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: Feb 6, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations

Aras Yurtman1, Billur Barshan2, Barış Fidan3

  • 1Department of Electrical and Electronics Engineering, Bilkent University, Bilkent, Ankara 06800, Turkey. yurtman@ee.bilkent.edu.tr.

Sensors (Basel, Switzerland)
|August 22, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for wearable motion sensors to accurately recognize activities even when sensors are not perfectly aligned. Our approach significantly improves accuracy compared to existing methods, especially for stationary activities.

Keywords:
accelerometeractivity recognition and monitoringgyroscopemagnetometermotion sensorsorientation-invariant sensingpatient health and state monitoringpattern classificationwearable sensing

More Related Videos

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

5.0K
Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
12:34

Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

Published on: June 24, 2016

10.6K

Related Experiment Videos

Last Updated: Feb 6, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K
Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

5.0K
Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
12:34

Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

Published on: June 24, 2016

10.6K

Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Signal Processing

Background:

  • Wearable motion sensors are crucial for activity recognition.
  • Existing algorithms often fail when sensors have variable orientations on the body.
  • This limitation hinders the reliability of wearable health and activity monitoring systems.

Purpose of the Study:

  • To develop a novel method for transforming motion sensor data to be invariant to sensor unit orientation.
  • To enhance the robustness of activity recognition algorithms against sensor placement variations.
  • To improve the accuracy and reliability of wearable sensor systems.

Main Methods:

  • Estimating sensor unit orientation and transforming data to the Earth frame.
  • Representing sensor rotations between time samples using quaternions in the Earth frame.
  • Integrating the orientation-invariant transformation into the pre-processing stage of activity recognition.

Main Results:

  • The proposed method achieved an average accuracy drop of only 4.7% with incorrectly oriented sensors, compared to 31.8% for standard systems.
  • Outperformed existing orientation-robust methods, which showed accuracy degradation between 8.4% and 18.8%.
  • Demonstrated superior performance in classifying stationary activities where other methods notably failed, with a 2.1% accuracy drop for non-stationary activities.

Conclusions:

  • The proposed orientation-invariant method significantly enhances the robustness of wearable motion sensor systems.
  • This approach is broadly applicable to various wearable devices for reliable activity recognition regardless of sensor orientation.
  • The method effectively addresses a key limitation in current wearable sensor technology.