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A survey of people-centric sensing studies utilizing mobile phone sensors
15 references·2 citing·44 second hop
A survey of people-centric sensing studies utilizing mobile phone sensors (2017)A survey of people-centric sensing studie…Where to go from here? Mobility prediction from instantaneous information (2013)Where to go from here? Mobili…Where and what: Using smartphones to predict next locations and applications in daily life (2013)Where and what: Using smartph…The influence of temporal and spatial features on the performance of next-place prediction algorithms (2013)The influence of temporal and…SmartDC: Mobility Prediction-Based Adaptive Duty Cycling for Everyday Location Monitoring (2013)SmartDC: Mobility Prediction-…iDiary (2013)iDiaryHow long are you staying? (2013)How long are you staying?Breaking the habit: Measuring and predicting departures from routine in individual human mobility (2013)Breaking the habit: Measuring…A review of current sleep screening applications for smartphones (2013)A review of current sleep scr…Transportation activity analysis using smartphones (2012)Transportation activity analy…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: Constructive approac…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Passive capture and ensuing issues for a personal lifetime store (2004)Passive capture and ensuing i…MyLifeBits (2002)MyLifeBitsProfile segmentation: Clustering approach based on behavioral patterns extracted from mobile phone data (2025)Profile segmentation: Cluster…Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor (2022)Two-Step k-means Clustering B…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Human mobility modeling at metropolitan scales (2012)Neural Turing Machine for sequential learning of human mobility patterns (2016)HybridBaro: Mining Driving Routes Using Barometer Sensor of Smartphone (2017)Survey of Automated Fare Collection Solutions in Public Transportation (2022)Friendship and mobility (2011)Building a validation measure for activity-based transportation models based on mobile phone data (2014)Mining smartphone data for app usage prediction and recommendations: A survey (2017)LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists (2020)Understanding transportation modes based on GPS data for web applications (2010)Field Evaluation of the Smartphone-based Travel Behaviour Data Collection App “SmartMo” (2015)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling (2020)Extending document management systems with user-specific active properties (2000)How do people manage their digital photographs? (2003)Over-exposed? (2007)A death in the family (2010)Augmenting human memory using personal lifelogs (2010)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)Automatic Sleep/Wake Identification From Wrist Activity (1992)Activity-Based Sleep-Wake Identification: An Empirical Test of Methodological Issues (1994)Is There a Clinical Role For Smartphone Sleep Apps? Comparison of Sleep Cycle Detection by a Smartphone Application to Polysomnography (2015)Sleep devices: wearables and nearables, informational and interventional, consumer and clinical (2017)Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders (2019)Computational Social Science (2009)Shared and unique mechanisms underlying binge eating disorder and addictive disorders (2016)Investigating the Relationships between Mobility Behaviours and Indicators of Subjective Well–Being Using Smartphone–Based Experience Sampling and GPS Tracking (2020)Trustworthy human-AI partnerships (2021)Using GPS to learn significant locations and predict movement across multiple users (2003)Reality mining: sensing complex social systems (2005)Learning and inferring transportation routines (2007)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)A survey of results on mobile phone datasets analysis (2015)The Massachusetts Institute of Technology (1999)Mining large-scale smartphone data for personality studies (2011)Measuring Large-Scale Social Networks with High Resolution (2014)Data integration: the teenage years (2006)Personal Information Management (2007)Smartphones (2009)gSCorr (2012)Interdependence and predictability of human mobility and social interactions (2013)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)
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References

  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2002MyLifeBits487 cited
  • 2009Eigenbehaviors: identifying structure in routine439 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2004Passive capture and ensuing issues for a personal lifetime store210 cited
  • 2013Where and what: Using smartphones to predict next locations and applications in daily life137 cited
  • 2013A review of current sleep screening applications for smartphones130 cited
  • 2013Breaking the habit: Measuring and predicting departures from routine in individual human mobility73 cited
  • 2013SmartDC: Mobility Prediction-Based Adaptive Duty Cycling for Everyday Location Monitoring61 cited
  • 2012Transportation activity analysis using smartphones61 cited
  • 2013The influence of temporal and spatial features on the performance of next-place prediction algorithms57 cited
  • 2013Where to go from here? Mobility prediction from instantaneous information48 cited
  • 2011Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace30 cited
  • 2013iDiary28 cited
  • 2013How long are you staying?

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24 cited

Cited by

  • 2022Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor9 cited
  • 2025Profile segmentation: Clustering approach based on behavioral patterns extracted from mobile phone data3 cited