Presentation | 2008-07-18 Pedestrian Context Inference Using a 3-Axis Accelerometer Naoki IKETANI, Masaaki KIKUCHI, Kenta CHO, Masanori HATTORI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We introduce a new method to recognize pedestrian contexts using a handheld mobile computer and a three-axis accelerometer. Without being affected by the position and direction of the accelerometer, we can recognize four kinds of pedestrian contexts: "still (not moving)", "walking", "running", and "on a vehicle (on a bus or train)." Our context recognition method consists of gravity estimation, feature value extraction from sensor information, context classification through a three-layer neural network, and the post-process context correction based on our original heuristic state-transition model. We evaluated the accuracy of the context recognition through cross validation. The accuracy reached 81% before the post-process correction and 84-87% after the post-process correction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Context-aware / accelerometer |
Paper # | USN2008-24 |
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Committee | USN |
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Conference Date | 2008/7/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Ubiquitous and Sensor Networks(USN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Pedestrian Context Inference Using a 3-Axis Accelerometer |
Sub Title (in English) | |
Keyword(1) | Context-aware |
Keyword(2) | accelerometer |
1st Author's Name | Naoki IKETANI |
1st Author's Affiliation | Research and Development Center, Toshiba Corp.() |
2nd Author's Name | Masaaki KIKUCHI |
2nd Author's Affiliation | Research and Development Center, Toshiba Corp. |
3rd Author's Name | Kenta CHO |
3rd Author's Affiliation | Research and Development Center, Toshiba Corp. |
4th Author's Name | Masanori HATTORI |
4th Author's Affiliation | Research and Development Center, Toshiba Corp. |
Date | 2008-07-18 |
Paper # | USN2008-24 |
Volume (vol) | vol.108 |
Number (no) | 138 |
Page | pp.pp.- |
#Pages | 6 |
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