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: Jun 13, 2026

Artificial Intelligence-Based System for Detecting Attention Levels in Students
06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

Published on: December 15, 2023

Wearable Multifunctional Sensors for Human Activity Recognition.

Lu Zhang1,2,3, Yi Du2,3, Haolong Li2,3

  • 1School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.

Sensors (Basel, Switzerland)
|June 12, 2026
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

High-Precision Attention Mechanism for Machine Vision Enabled by an Artificial Optoelectronic Memristor Synapse.

Nano letters·2025
Same author

A True Random Number Generator Design Based on the Triboelectric Nanogenerator with Multiple Entropy Sources.

Micromachines·2024
Same author

A new diagnostic tool for brain disorders: extracellular vesicles derived from neuron, astrocyte, and oligodendrocyte.

Frontiers in molecular neuroscience·2023
Same author

Human forebrain organoid-based multi-omics analyses of PCCB as a schizophrenia associated gene linked to GABAergic pathways.

Nature communications·2023
Same author

Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: the Framingham Heart Study.

Scientific reports·2023
Same author

Development of a solubility parameter calculation-based method as a complementary tool to traditional techniques for indoor dust microplastic determination and risk assessment.

Journal of hazardous materials·2023
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
This summary is machine-generated.

Wearable multifunctional sensors, driven by the Internet of Things (IoT), are advancing high-precision human activity recognition (HAR). This review explores sensor designs and applications in healthcare, sports, and HCI.

Area of Science:

  • Materials Science
  • Electronics Engineering
  • Computer Science

Background:

  • The convergence of the Internet of Things (IoT) and ubiquitous computing fuels the need for advanced wearable sensors.
  • Novel materials and flexible electronics are key drivers in the evolution of wearable multifunctional sensors for human activity recognition (HAR).
  • Existing sensors face challenges in signal decoupling, system robustness, and environmental perception.

Purpose of the Study:

  • To systematically review frontier research on wearable multifunctional sensors for HAR.
  • To analyze core architectural design paradigms for these sensors.
  • To discuss challenges and future prospects in the field.

Main Methods:

  • Analysis of three core architectural design paradigms: architecture-level integration, monolithic integration, and intrinsically multifunctional design.
Keywords:
flexible electronicshuman activity recognitionmultifunctional fusionsignal decouplingwearable sensors

More Related Videos

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

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

Related Experiment Videos

Last Updated: Jun 13, 2026

Artificial Intelligence-Based System for Detecting Attention Levels in Students
06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

Published on: December 15, 2023

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

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

  • Review of advancements in novel materials and flexible electronics.
  • Examination of diverse application scenarios.
  • Main Results:

    • Architecture-level integration uses spatial isolation for signal decoupling.
    • Monolithic integration focuses on compactness and spatiotemporal consistency.
    • Intrinsically multifunctional design utilizes stimuli-responsive materials for signal discrimination.

    Conclusions:

    • Wearable multifunctional sensors offer significant potential for high-precision HAR across various domains.
    • Continued advancements in materials and integration strategies are crucial.
    • Addressing current challenges will unlock future development prospects in sensing platforms.