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Discovering places of interest using sensor data from smartphones and wearables
8 references·8 citing·34 second hop
Discovering places of interest using sensor data from smartphones and wearables (2017)Discovering places of interest using sens…Assessing health trends of college students using smartphones (2016)Assessing health trends of co…The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data (2013)The Places of Our Lives: Visi…Discovering places of interest in everyday life from smartphone data (2012)Discovering places of interes…Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…Understanding individual human mobility patterns (2008)Understanding individual huma…Extracting places from traces of locations (2005)Extracting places from traces…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Visualizing College Students’ Geo-Temporal Context-Varying Significant Phone Call Patterns (2021)Visualizing College Students’…Understanding College Students’ Phone Call Behaviors Towards a Sustainable Mobile Health and Well-Being Solution (2021)Understanding College Student…Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown (2021)Predicting Next Call Duration…Deriving College Students’ Phone Call Patterns to Improve Student Life (2021)Deriving College Students’ Ph…Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution (2020)Understanding College Student…Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators (2019)Assessing Older Adults’ Daily…Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data (2018)Opportunistic Discovery of Pe…Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data (2018)Opportunistic Discovery of Pe…Understanding mobility based on GPS data (2008)Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015)Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (2018)Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research (2019)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Inferring High-Level Behavior from Low-Level Sensors (2003)Learning and inferring transportation routines (2007)Discovering human places of interest from multimodal mobile phone data (2010)Personal data vaults (2010)Predestination: Inferring Destinations from Partial Trajectories (2006)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A probabilistic kernel method for human mobility prediction with smartphones (2014)Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches (2021)Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (2014)StudentLife (2014)Construct validity in psychological tests. (1955)The Measurement of Observer Agreement for Categorical Data (1977)Older Adults' Reasons for Using Technology while Aging in Place (2015)A Space-Time Analysis of Rural Older People’s Outdoor Mobility and Its Impact on Self-Rated Health: Evidence from a Taiwanese Rural Village (2021)Control Matters in Elder Care Technology: Evidence and Direction for Designing It In (2022)Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons (2024)Reality mining: sensing complex social systems (2005)Computational Social Science (2009)Inferring friendship network structure by using mobile phone data (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones (2011)A survey on deep learning for human mobility (2023)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2005Extracting places from traces of locations186 cited
  • 2012Discovering places of interest in everyday life from smartphone data137 cited
  • 2013The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data104 cited
  • 2016Assessing health trends of college students using smartphones41 cited

Cited by

  • 2019Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators38 cited
  • 2018Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data36 cited
  • 2018Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data30 cited
  • 2021Deriving College Students’ Phone Call Patterns to Improve Student Life20 cited
  • 2021Visualizing College Students’ Geo-Temporal Context-Varying Significant Phone Call Patterns18 cited
  • 2021Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown

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17 cited
  • 2021Understanding College Students’ Phone Call Behaviors Towards a Sustainable Mobile Health and Well-Being Solution13 cited
  • 2020Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution7 cited