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Understanding crowd density with a smartphone sensing system
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Understanding crowd density with a smartphone sensing system (2018)Understanding crowd density with a smartp…Urban sensing: Using smartphones for transportation mode classification (2014)Urban sensing: Using smartpho…New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet (2014)New Measures of Mental State …Large-scale study of city dynamics and urban social behavior using participatory sensing (2014)Large-scale study of city dyn…Characterizing and modeling people movement from mobile phone sensing traces (2014)Characterizing and modeling p…Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Analysis methods for extracti…Signals from the crowd (2013)Signals from the crowdTracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…Eigenplaces: Segmenting Space through Digital Signatures (2009)Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)SocialProbe (2016)Towards a smart campus: supporting campus decisions with Internet of Things applications (2020)Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining (2020)Reality mining: sensing complex social systems (2005)Towards rich mobile phone datasets: Lausanne data collection campaign (2010)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)A novel collaborative approach for location prediction in mobile networks (2016)Exploring the utilization of places through a scalable “Activities in Places” analysis mechanism (2016)Characterizing user mobility using mobile sensing systems (2017)The Computer for the 21st Century (1991)Affective Computing (1997)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry (2015)Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review (2018)Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone (2019)A New Status Index Derived from Sociometric Analysis (1953)The Strength of Weak Ties (1973)Birds of a Feather: Homophily in Social Networks (2001)DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones (2018)Cellular Census: Explorations in Urban Data Collection (2007)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Measuring Comfort in Public Transport: A case study for İstanbul (2017)Developing a passive GPS tracking system to study long-term travel behavior (2019)Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data (2019)Mapping the world's photos (2009)Friendship and mobility (2011)Service Pricing Decision in Cyber-Physical Systems: Insights from Game Theory (2015)Identifying opportunity places for urban regeneration through LBSNs (2019)The 51 V's Of Big Data (2019)Exploring Millions of Footprints in Location Sharing Services (2021)How talkative is your mobile device? (2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)
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References

  • 2012Tracking unmodified smartphones using wi-fi monitors256 cited
  • 2014Urban sensing: Using smartphones for transportation mode classification139 cited
  • 2014Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning112 cited
  • 2013Signals from the crowd107 cited
  • 2014New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet103 cited
  • 2014Large-scale study of city dynamics and urban social behavior using participatory sensing80 cited
  • 2014Characterizing and modeling people movement from mobile phone sensing traces37 cited

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