DocumentCode :
2236758
Title :
Supporting on-demand experience segmentation in the ubiquitous memories environment
Author :
Murata, Satoshi ; Kawamura, Tatsuyuki ; Kono, Yasuyuki ; Kidode, Masatsugu
Author_Institution :
Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Yokohama, Japan
fYear :
2004
fDate :
20-22 Sept. 2004
Firstpage :
371
Lastpage :
376
Abstract :
This work newly proposes a wearable system in the ubiquitous memories (UM) environment we have already developed, where users can enclose/disclose their experiences in/from related objects. We have designed an intelligent wearable system to support on-demand experience segmentation so that an object can be enclosed by the following two processes 1) continuously recording the user´s viewpoint images, and 2) detecting the starting point of an experience the user wants to record just when that experience has ended. We describe design concepts of the proposed system and an experiment to confirm its availability to detect the starting point of a certain period of an experience.
Keywords :
image segmentation; intelligent robots; probability; ubiquitous computing; video on demand; video recording; intelligent wearable system; ondemand experience segmentation; probability; ubiquitous memories environment; user viewpoint images; video on demand; Biomedical monitoring; Humans; Image segmentation; Information science; Intelligent robots; Intelligent sensors; Intelligent systems; Object detection; Robot sensing systems; Video on demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on
Print_ISBN :
0-7803-8570-5
Type :
conf
DOI :
10.1109/ROMAN.2004.1374789
Filename :
1374789
Link To Document :
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