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

Endoscopically visible Randall's plaques are an independent predictor of future stone events.

Urolithiasis·2026
Same author

Establishing an endoscopic enucleation of the prostate practice: a survey of strategies and challenges by successful early career urologists.

World journal of urology·2026
Same author

Improving access to urological care in rural underserved populations in Nigeria using telemedicine: a needs assessment and patient perception survey.

World journal of urology·2025
Same author

A Multicenter Randomized Controlled Trial of Ambulatory Versus Inpatient Percutaneous Nephrolithotomy.

European urology focus·2025
Same author

The Effect of the Care Ecosystem Collaborative Care Model on End-of-Life Outcomes for People With Dementia and Their Caregivers.

The American journal of hospice & palliative care·2025
Same author

Care Navigation in the Management of Urinary Stone Disease: An Opportunity to Improve Care Access While Reducing Treatment Costs.

Urology·2025

Related Experiment Video

Updated: Apr 18, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

2.0K

Smart watch RSSI localization and refinement for behavioral classification using laser-SLAM for mapping and

Jay D Carlson, Mateusz Mittek, Steven A Parkison

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary

    This study presents a wireless sensor network (WSN) for accurate human localization in smart homes using a smartwatch. The system refines localization by considering typical movement patterns for enhanced behavioral monitoring.

    More Related Videos

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    5.8K
    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

    9.4K

    Related Experiment Videos

    Last Updated: Apr 18, 2026

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
    06:32

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

    Published on: July 14, 2023

    2.0K
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    5.8K
    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

    9.4K

    Area of Science:

    • Computer Science
    • Electrical Engineering
    • Human-Computer Interaction

    Background:

    • Smart home systems require accurate human behavior monitoring.
    • Existing localization systems can be costly or intrusive.
    • Wireless Sensor Networks (WSN) offer a potential solution for non-intrusive monitoring.

    Purpose of the Study:

    • To develop a low-cost, non-intrusive WSN system for RSSI localization.
    • To enable accurate human behavior classification in smart homes.
    • To introduce a novel refinement technique for improved localization accuracy.

    Main Methods:

    • Utilizing a smartwatch to broadcast data to a WSN.
    • Employing Received Signal Strength Indication (RSSI) at WSN nodes for localization.
    • Implementing Simultaneous Localization and Mapping (SLAM) for automated fingerprinting and calibration.
    • Introducing a refinement technique based on typical human movement patterns.

    Main Results:

    • The WSN system provides accurate RSSI localization in a typical living space.
    • SLAM-based calibration effectively associates signal strength patterns with user location.
    • The novel refinement technique enhances localization precision by incorporating movement data.

    Conclusions:

    • The developed WSN system is a viable first step towards smart home behavioral monitoring.
    • The system offers a low-cost and non-intrusive approach to user localization.
    • Further development can leverage this system for advanced human behavior classification.