People-centric urban sensing
By Andrew T. Campbell, Shane B. Eisenman, Nicholas Donald Lane, Emiliano Miluzzo, Ronald A. Peterson. International Wireless Internet Conference, 2006
514 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/601c4fe84a7e38766d7611bbf2412c8fbb4c87f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Mani B. Srivastava
- Salil S. Kanhere
- Deborah Estrin
- Andrew T. Campbell
- Shane B. Eisenman
- Mirco Musolesi
- Sasank Reddy
- Nicholas Donald Lane
In Computer Vision and Pattern Recognition
- Salil S. Kanhere
- Andrew T. Campbell
- Nicholas Donald Lane
- Emiliano Miluzzo
- Deborah Estrin
- Mani B. Srivastava
- Mirco Musolesi
- Hong Lu
Citations in the corpus
- PathS: Enhancing Geographical Maps with Environmental Sensed Data (2015, methodology): “The peoplecentric sensing paradigm has been around for some years and many research e↵ort has been devoted ranging from algorithms and techniques proposed to measure specific environmental properties to hierachical system architectures and communication paradigms [5, 3].”
- Anonysense: privacy-aware people-centric sensing (2008, methodology): “Todemonstrate our tasking and reporting architecture, we developed AnonySense within the Metrosense project [7], and built two applications of interest to the mobile-computing community.”
- Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application (2008, background): “There is growing interest in the use of sensor-enabled mobile phones for people-centric sensing [20][21][15][26][ 29 ].”
- Internet of Things and Big Data Analytics for Smart and Connected Communities (2016, background): “In addition to RFID sensing enabled by wireless sensor networks (WSN), people-centric urban sensing is becoming popular [11], [12].”
- Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces (2011, background): “These advances in mobile phone technology coupled with their ubiquity have paved the wave for an exciting new paradigm for accomplishing large-scale sensing, known in literature as participatory sensing [1], [2] The key idea behind participatory sensing is to empower ordinary citizens to collect and”
- Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network (2016, background): “In [1], the authors have proposed MetroSense, which is focusing on people and various services.”
- Urban sensing: out of the woods (2008, background): “If the vector of entry will be an individual’s cell phone, we necessarily move away from the James Reserve’s full centralization toward a model of distributed citizen-sensing, sometimes called participatory sensing [2, 3].”
- Recruitment Framework for Participatory Sensing Data Collections (2010, background): “The recent proliferation of mobile smart phones combined with the ease of deployment of web services for storage, processing and visualization, has ushered in a new pervasive data collection model - participatory sensing [1,2,3].”
- Towards rich mobile phone datasets: Lausanne data collection campaign (2010, background): “Previously cited research in this field has been conducted by academic parties [8], [9]; a corporate research lab from the mobile industry is behind the present campaign.”
- Urban sensing systems: opportunistic or participatory? (2008, methodology): “In the application query submission stage, a query is submitted to the system specifying at least one required sensor type (e.g., camera) and a set of conditions (i.e., sampling context) under which sampling of the required sensor should take place (e.g., location, time, physical orientation).”
- A survey of mobile phone sensing (2010, unknown): “, taking the phone out of the pocket to collect a sound sample or take a picture); that is, should the user actively participate, known as participatory sensing [15], or, alternatively, passively participate, known as opportunistic sensing [17]? Each of these sensing paradigms presents important tra”
- SoundSense: scalable sound sensing for people-centric applications on mobile phones (2009, background): “…College {hong, pway, niclane, campbell}@cs.dartmouth.edu, tanzeem.choudhury@dartmouth.edu ABSTRACT Top end mobilephonesincludeanumberof specialized(e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sensing applications.”
- Internet of Things (IoT): A vision, architectural elements, and future directions (2012, background): “A number of projects have begun to address the development of people centric (or participatory) sensing platforms [51,62-64].”
- A survey on privacy in mobile participatory sensing applications (2011, background): “Since December 2007, he is a research assistant at the Multimedia Communications Lab (KOM) at Technische Universität Darmstadt, Germany, where he works towards his doctoral degree.”