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Sensors 2011, 11(4), 3988-4008;

An Intelligent Tool for Activity Data Collection

Department of Digital Information Engineering, Hankuk University of Foreign Studies, 89 Wangsan-ri, Mohyeon, Cheoin-gu, Yongin-si, Gyeonggi-do, 449-791, Korea
Received: 8 February 2011 / Revised: 14 March 2011 / Accepted: 30 March 2011 / Published: 6 April 2011
(This article belongs to the Special Issue 10 Years Sensors - A Decade of Publishing)
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Activity recognition systems using simple and ubiquitous sensors require a large variety of real-world sensor data for not only evaluating their performance but also training the systems for better functioning. However, a tremendous amount of effort is required to setup an environment for collecting such data. For example, expertise and resources are needed to design and install the sensors, controllers, network components, and middleware just to perform basic data collections. It is therefore desirable to have a data collection method that is inexpensive, flexible, user-friendly, and capable of providing large and diverse activity datasets. In this paper, we propose an intelligent activity data collection tool which has the ability to provide such datasets inexpensively without physically deploying the testbeds. It can be used as an inexpensive and alternative technique to collect human activity data. The tool provides a set of web interfaces to create a web-based activity data collection environment. It also provides a web-based experience sampling tool to take the user’s activity input. The tool generates an activity log using its activity knowledge and the user-given inputs. The activity knowledge is mined from the web. We have performed two experiments to validate the tool’s performance in producing reliable datasets. View Full-Text
Keywords: activity recognition; activity datasets; intelligent data collection; experience sampling tool; web mining; testbed activity recognition; activity datasets; intelligent data collection; experience sampling tool; web mining; testbed

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Sarkar, A.M.J. An Intelligent Tool for Activity Data Collection. Sensors 2011, 11, 3988-4008.

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