TY - GEN
T1 - An individual data extraction model for objects used by a number of people
AU - Kawasaki, Hitoshi
AU - Ohmura, Ren
AU - Osawa, Hirotaka
AU - Imai, Michita
PY - 2009/4/27
Y1 - 2009/4/27
N2 - This study investigates people's use of objects and the things they do in their daily lives. This is because interaction with objects can give us valuable insights with regard to behavior. The problem is that in an environment where multiple users interact with the same object, it is difficult to obtain data relating to each individual. To this end, we propose a model that extracts individual data from a data set. We can recognize individual users in environments where multiple users interact with an object. The model consists of 3 policies. As a result of our experiment, we proved that the system could extract individual data that fits an individual examinee's consciousness an average of 85.3% of the time. In addition, by letting each examinee look back on the system results, we could make the examinee conscious of behavior of which they had previously been unaware.
AB - This study investigates people's use of objects and the things they do in their daily lives. This is because interaction with objects can give us valuable insights with regard to behavior. The problem is that in an environment where multiple users interact with the same object, it is difficult to obtain data relating to each individual. To this end, we propose a model that extracts individual data from a data set. We can recognize individual users in environments where multiple users interact with an object. The model consists of 3 policies. As a result of our experiment, we proved that the system could extract individual data that fits an individual examinee's consciousness an average of 85.3% of the time. In addition, by letting each examinee look back on the system results, we could make the examinee conscious of behavior of which they had previously been unaware.
KW - Activity recognition
KW - Context-awareness
KW - Individualization
KW - Pervasive application
UR - http://www.scopus.com/inward/record.url?scp=65249137029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65249137029&partnerID=8YFLogxK
U2 - 10.1109/ISWPC.2009.4800568
DO - 10.1109/ISWPC.2009.4800568
M3 - Conference contribution
AN - SCOPUS:65249137029
SN - 9781424429660
T3 - 2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009
BT - 2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009
T2 - 2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009
Y2 - 11 February 2009 through 13 February 2009
ER -