Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeh, Lun-Wu | en_US |
dc.contributor.author | Lu, Che-Yen | en_US |
dc.contributor.author | Lin, Yu-Hsuan | en_US |
dc.contributor.author | Liao, Jia-Liang | en_US |
dc.contributor.author | Tseng, Yu-Chee | en_US |
dc.contributor.author | Chen, Chien | en_US |
dc.contributor.author | Yi, Chih-Wei | en_US |
dc.date.accessioned | 2014-12-08T15:25:20Z | - |
dc.date.available | 2014-12-08T15:25:20Z | - |
dc.date.issued | 2009 | en_US |
dc.identifier.isbn | 978-1-4244-3303-2 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/17713 | - |
dc.description.abstract | The iLamp(1) system is a sensor-enhanced desk lamp with surface-tracking capability based on received light intensity. It consists of two components: lamp and bookmark. The bookmark is a ZigBee-enabled sensor node that can report its sensed light intensity to the lamp with a user-friendly interface and two-way communication capability. The lamp can use its LEDs to locate user's reading surface to which the bookmark is attached, move toward the surface, and further tune its luminous intensity to meet user's preference. We develop the geometrical model for surface tracking. iLamp demonstrates a new centimeter-level location-tracking system using light intensity alone without other extra media or devices. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | LED | en_US |
dc.subject | light control | en_US |
dc.subject | location tracking | en_US |
dc.subject | pervasive computing | en_US |
dc.subject | sensor | en_US |
dc.subject | wireless sensor network | en_US |
dc.title | iLamp: A Sensor-Enhanced Lamp with Surface-Tracking Capability Based on Light Intensity | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2009 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM), VOLS 1 AND 2 | en_US |
dc.citation.spage | 357 | en_US |
dc.citation.epage | 359 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000268744400051 | - |
Appears in Collections: | Conferences Paper |