Showing papers on "Participatory sensing published in 2007"

Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype

Abstract: Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, and browsing large sets of images. Implemented as a set of web services with an Adobe Flash-based user interface, it supports clustering by both image features and context tags, as well as re-tagging of images in the user interface. Though expected to be useful in many applications, ImageScape was designed as an analysis component of DietSense, a software system under development at UCLA to support (1) the use of mobile devices for automatic multimedia documentation of dietary choices with just-in-time annotation, (2) efficient post facto review of captured media by participants and researchers, and (3) easy authoring and dissemination of the automatic data collection protocols. A pilot study, in which participants ran software that enabled their phones to autonomously capture images of their plates during mealtime, was conducted using an early prototype of the DietSense system, and the resulting image set used in the creation of ImageScape. ImageScape will support two kinds of users within the DietSense application: The participants in dietary studies will have the ability to easily audit their images, while the recipients of the images, health care professionals managing studies and performing analysis, will be able to rapidly browse and annotate large sets of images.

Poster Abstract: A Framework for Data Quality and Feedback in Participatory Sensing

Abstract: The rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing paradigm - where humans carrying mobile phones can act as sensor systems. Human-in-the-loop sensor systems raise many new challenges in areas of sensor data quality assessment, mobility and sampling coordination, and user interaction procedures.

A framework for data quality and feedback in participatory sensing

Abstract: The rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing paradigm - where humans carrying mobile phones can act as sensor systems. Human-in-the-loop sensor systems raise many new challenges in areas of sensor data quality assessment, mobility and sampling coordination, and user interaction procedures.

Campaignr: A Framework for Participatory Data Collection on Mobile Phones

Abstract: Participatory sensing takes advantage of the pervasive nature of mobile phones to collect data about the urban environment using the available sensors. Campaignr makes collecting this data as simple as a few button pushes. It provides access to the sensors in a robust and flexible way that hides the complexities of the mobile embedded phone environment. This paper describes the design choices and provides some numerical evaluation of Campaignr. Campaignr has been and is being actively used as the data collection method for many research pro jects, both internally and externally.

Managing mobile-based participatory sensing communities

Abstract: The Sensing on Everyday Mobile Phones in Support of Participatory Research Workshop at the 5th ACM International Conference on Embedded Networked Sensor Systems (ACM SenSys 2007), Sydney, Australia, November 06-09, 2007