Title :
Recognition of Grip-Patterns by Using Capacitive Touch Sensors
Author :
Chang, Wook ; Kim, Kee Eung ; Lee, Hyunjeong ; Cho, Joon Kee ; Soh, Byung Seok ; Shim, Jung Hyun ; Yang, Gyunghye ; Cho, Sung-Jung ; Park, Joonah
Author_Institution :
Samsung Adv. Inst. of Technol., Suwon
Abstract :
A novel and intuitive way of accessing applications of mobile devices is presented. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensor system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user´s grip-pattern. The captured data is then recognized by a minimum distance classifier and a naive Bayes classifier. The recognition test is performed to validate the feasibility of the proposed user interface system
Keywords :
capacitive sensors; mobile handsets; pattern recognition; tactile sensors; user interfaces; capacitive touch sensors; grip-patterns recognition; minimum distance classifier; mobile devices; naive Bayes classifier; recognition test; user interface system; Electrodes; Face detection; Fingers; Optical devices; Performance evaluation; Sensor phenomena and characterization; Sensor systems; System testing; Tactile sensors; User interfaces;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.296083