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

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
Errors in Global Positioning System01:26

Errors in Global Positioning System

Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

You might also read

Related Articles

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

Sort by
Same author

Temporal patterns of smartphone-mediated digital engagement and mental health symptomatology.

Acta psychologica·2026
Same author

The Impact of Sunlight and Artificial Light at Night on Sleep Stages: Evidence From a 7-Day Sensor-Based Observational Study.

JMIR mHealth and uHealth·2026
Same author

Temporal shifts in area-level access to cycling infrastructure for equity-deserving groups in three Canadian cities: A descriptive epidemiologic study.

Canadian journal of public health = Revue canadienne de sante publique·2026
Same author

Mental health in a digitally fragmented world: Exploring negative and positive associations across spatial contexts and gender.

Social science & medicine (1982)·2026
Same author

The impact of stress on sleep architecture: A seven-day study leveraging a psychophysiological stress detection algorithm and wearable EEG.

Sleep health·2026
Same author

Activity space patterns and loneliness: Evidence from the pan-Canadian COHESION cohort.

Health & place·2026
Same journal

EpiGIS pro: an AI-powered geospatial intelligence platform for integrated disease surveillance and predictive analytics.

International journal of health geographics·2026
Same journal

Disparities of children's obesogenic environments in Louisiana.

International journal of health geographics·2026
Same journal

Spatial non-stationarity in son preference: a district-level geographically weighted regression analysis of NFHS-5 in India.

International journal of health geographics·2026
Same journal

Modeling hospital catchment areas in pediatric oncology using an empirically parameterized extended Huff-model.

International journal of health geographics·2026
Same journal

Spatio-temporal epidemic forecasting with graph-based transformer.

International journal of health geographics·2026
Same journal

Spatial and telehealth accessibility to eating disorder treatment in the United States: evidence from registry and LLM-augmented data.

International journal of health geographics·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Detecting activity locations from raw GPS data: a novel kernel-based algorithm.

Benoit Thierry1, Basile Chaix, Yan Kestens

  • 1Montreal University Hospital Research Center (CRCHUM), Pavillon Masson - 218 3850, St-Urbain, Montreal, H2W 1T7, Canada.

International Journal of Health Geographics
|March 19, 2013
PubMed
Summary
This summary is machine-generated.

A new kernel-based algorithm effectively detects activity locations from Global Positioning System (GPS) data, outperforming traditional methods in health and mobility research even with GPS noise.

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: May 13, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

  • Geospatial Health
  • Digital Health
  • Computational Epidemiology

Background:

  • Mobile health (mHealth) studies increasingly use Global Positioning System (GPS) tracking for health research.
  • GPS data requires transformation for effective analysis of mobility, exposures, and health outcomes.
  • Evaluating activity place detection algorithms is crucial for accurate health and environmental exposure research.

Purpose of the Study:

  • To propose and evaluate a novel kernel-based algorithm for activity place detection using GPS data.
  • To compare the performance of the kernel-based algorithm against a traditional time-distance clustering method.
  • To assess algorithm resilience to varying levels of GPS noise.

Main Methods:

  • Generated 750 artificial GPS tracks with three stops each, incorporating varying noise levels.
  • Processed a total of 9,000 tracks to evaluate stop detection and duration estimation capabilities.
  • Tested algorithm performance across different GPS noise intensities and parameter settings.

Main Results:

  • The kernel-based algorithm demonstrated superior performance in activity place detection compared to the traditional method.
  • The novel algorithm showed enhanced resilience to GPS noise, detecting up to 92.3% of actual stops.
  • Stop duration was estimated within 5% error margins across all tested noise levels by the kernel-based algorithm.

Conclusions:

  • Activity location detection is vital for health and place-based research utilizing GPS data.
  • Testing algorithms with controlled artificial datasets is valuable, complementing real-world data analysis.
  • The proposed kernel-based algorithm offers a robust and accurate solution for activity place detection in GPS health studies.