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Mobile Based Prompted Labeling of Large Scale Activity Data

Cleland, Ian, Han, Manhyung, Nugent, Chris D., Lee, Hosung, Zhang, Shuai, McClean, Sally and Lee, Sungyoung (2013) Mobile Based Prompted Labeling of Large Scale Activity Data. In: 5th International Work-Conference on Ambient Assisted Living, Carrillo, Costa Rica. Springer International Publishing. Vol 8277 8 pp. [Conference contribution]

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URL: http://link.springer.com/chapter/10.1007%2F978-3-319-03092-0_2

DOI: 10.1007/978-3-319-03092-0_2

Abstract

This paper describes the use of a prompted labeling solution to obtain class labels for user activity and context information on a mobile device. Based on the output from an activity recognition module, the prompt labeling module polls for class transitions from any of the activities (e.g. walking, running) to the standing still activity. Once a transition has been detected the system prompts the user, through the provision of a message on the mobile phone, to provide a label for the last activity that was carried out. This label, along with the raw sensor data is then stored locally prior to being uploaded to cloud storage. The paper provides technical details of how and when the system prompts the user for an activity label and discusses the information that can be gleaned from sensor data. This system allows for activity and context information to be collected on a large scale. Data can then be used within new opportunities in data mining and modeling of user context for a variety of applications.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:30853
Deposited By: Dr Ian Cleland
Deposited On:21 Jan 2015 11:19
Last Modified:21 Jan 2015 11:19

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