dc.citation.conferencePlace |
CC |
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dc.citation.conferencePlace |
Macao Polytechnic Institute CampusMacau |
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dc.citation.title |
IEEE WoWMoM (2017 IEEE 18th International Symposium on a World of Wireless Mobile and Multimedia Networks) |
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dc.contributor.author |
Lee, Sungyong |
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dc.contributor.author |
Lee, Jinsung |
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dc.contributor.author |
Lee, Kyunghan |
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dc.date.accessioned |
2023-12-19T18:40:51Z |
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dc.date.available |
2023-12-19T18:40:51Z |
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dc.date.created |
2017-07-16 |
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dc.date.issued |
2017-06-14 |
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dc.description.abstract |
A new transportation mode recognition system for smartphones, VehicleSense that is widely applicable to mobile context-aware services is proposed. VehicleSense aims at achieving three performance objectives: high accuracy, low latency, and low power consumption at once by exploiting sound characteristics captured from the built-in microphone while being on candidate transportations. To attain high energy efficiency, VehicleSense adopts hierarchical accelerometer-based triggers that minimize the activation of the microphone of smartphones. Further, to attain high accuracy and low latency, VehicleSense makes use of non-linear filters that can best extract the transportation sound samples. Our 186-hour log of sound and accelerometer data collected by seven different Android smartphone models confirms that VehicleSense achieves the recognition accuracy of 98.2% with only 0.5 seconds of sound sampling at the power consumption of 26.1 mW on average for all day monitoring. |
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dc.identifier.bibliographicCitation |
IEEE WoWMoM (2017 IEEE 18th International Symposium on a World of Wireless Mobile and Multimedia Networks) |
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dc.identifier.doi |
10.1109/WoWMoM.2017.7974318 |
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dc.identifier.scopusid |
2-s2.0-85027533688 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/35304 |
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dc.identifier.url |
http://ieeexplore.ieee.org/document/7974318/ |
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dc.language |
영어 |
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dc.publisher |
IEEE |
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dc.title |
VehicleSense: A Reliable Sound-based Transportation Mode Recognition System for Smartphones |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-06-12 |
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