NDLI: Design considerations for the WISDM smart phone-based sensor mining architecture

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Design considerations for the WISDM smart phone-based sensor mining architecture

Content Provider	ACM Digital Library
Author	Pulickal, Tony T. Xue, Jack C. Grosner, Andrew B. Gallagher, Shaun T. Weiss, Gary M. Lockhart, Jeffrey W.
Abstract	Smart phones comprise a large and rapidly growing market. These devices provide unprecedented opportunities for sensor mining since they include a large variety of sensors, including an: acceleration sensor (accelerometer), location sensor (GPS), direction sensor (compass), audio sensor (microphone), image sensor (camera), proximity sensor, light sensor, and temperature sensor. Combined with the ubiquity and portability of these devices, these sensors provide us with an unprecedented view into people's lives---and an excellent opportunity for data mining. But there are obstacles to sensor mining applications, due to the severe resource limitations (e.g., power, memory, bandwidth) faced by mobile devices. In this paper we discuss these limitations, their impact, and propose a solution based on our WISDM (WIireless Sensor Data Mining) smart phone-based sensor mining architecture.
Starting Page	25
Ending Page	33
Page Count	9
File Format	PDF
ISBN	9781450308328
DOI	10.1145/2003653.2003656
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-08-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Accelerometer Mobile applications Sensors Data mining Cell phone Sensor mining Smart phone
Content Type	Text
Resource Type	Article

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