TY - JOUR
T1 - Design and implementation of a same-user identification system in invoked reality space
AU - Jung, Yunji
AU - Xi, Yulong
AU - Cho, Seoungjae
AU - Song, Wei
AU - Fong, Simon
AU - Cho, Kyungeun
N1 - Publisher Copyright:
© 2016, The Author(s).
PY - 2017/5/1
Y1 - 2017/5/1
N2 - The objective of this study is to solve the problem of user data not being precisely received from sensors because of sensing region limitations in invoked reality (IR) space, distortion of colors or patterns by lighting, and blocking or overlapping of a user by other users. The sensing scope range is thus expanded using multiple sensors in the IR space. Moreover, user feature data are accurately identified by user sensing. Specifically, multiple sensors are employed when not all of user data are sensed because they overlap with data of other users. In the proposed approach, all clients share the user feature data from multiple sensors. Accordingly, each client recognizes that the user is the same individual on the basis of the shared data. Furthermore, the identification accuracy is improved by identifying the user features based on colors and patterns that are less affected by lighting. Therefore, accurate identification of the user feature data is enabled, even under lighting changes. The proposed system was implemented based on system performance analysis standards. The practicality and system performance in identifying the same person using the proposed method were verified through an experiment.
AB - The objective of this study is to solve the problem of user data not being precisely received from sensors because of sensing region limitations in invoked reality (IR) space, distortion of colors or patterns by lighting, and blocking or overlapping of a user by other users. The sensing scope range is thus expanded using multiple sensors in the IR space. Moreover, user feature data are accurately identified by user sensing. Specifically, multiple sensors are employed when not all of user data are sensed because they overlap with data of other users. In the proposed approach, all clients share the user feature data from multiple sensors. Accordingly, each client recognizes that the user is the same individual on the basis of the shared data. Furthermore, the identification accuracy is improved by identifying the user features based on colors and patterns that are less affected by lighting. Therefore, accurate identification of the user feature data is enabled, even under lighting changes. The proposed system was implemented based on system performance analysis standards. The practicality and system performance in identifying the same person using the proposed method were verified through an experiment.
KW - Feature extraction
KW - Invoked reality
KW - User identification
UR - http://www.scopus.com/inward/record.url?scp=84996671037&partnerID=8YFLogxK
U2 - 10.1007/s11042-016-4117-4
DO - 10.1007/s11042-016-4117-4
M3 - Article
AN - SCOPUS:84996671037
SN - 1380-7501
VL - 76
SP - 11429
EP - 11447
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 9
ER -