Tracking a personalized trail effectively with a mobile phone

Sustainable Production of Wood and Non-Wood Forest Products

Jong-Ho Lea ; Hee-Seob Ryu ; Sang-Goog Lee ; Yong-Beom Lee ; Sang-Ryong Kim

Others  :  http://CEUR-WS.org/Vol-197/Paper6.pdf
PID  :  456

来源: CEUR

【 摘 要 】

This paper presents a solution to a problem of reducing the GPScall incidences to record personal gazetteers and of adjusting thegranularity of localization on different distance scale according tovisiting experiences. Personal gazetteers usually list and describeusers’ important places, such as home, work, restaurants, etc. Theimportant places for mobile users can be easily logged by fixedrate GPS calls. But frequent GPS calls consume the battery of acellphone, so it is important to reduce the GPS call incidenceswithout the loss of location accuracy. We found out that thepseudo-noise (PN) signals of mobile phones show stable patternsto estimate the places along the users’ path. According to thesestable patterns, we can get the proper GPS call times both whenthe PN signals show whether the user stays long enough in his/herpoint of interest (POI) and when he/she changes significantlyhis/her location. The real road experiments demonstrate theeffectiveness and applicability of the GPS call reduction of thisalgorithm, and it is found to produce reliable personal life patternsof POIs. After getting the patterns of POIs with reduced GPS calls,naming the places is required. This paper also presents a user- centric model of addressing the gazetteers, which will be adaptedas the visiting rates of the same visited places increase. Familiaritybreeds concerns with the polished scalability of the address naming.