Title :
Rear-facing mobile camera-based finger motion command recognition system
Author :
Byung-Hun Oh ; Jung-Hyun Kim ; Kwang-Seok Hong
Author_Institution :
Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
A novel rear-facing mobile camera-based finger motion command recognition system is proposed and implemented that can support mobile human-computer interaction (HCI) by using only the index finger of the hand holding the mobile device. This is a hybrid approach that includes (i) maximum morphological gradient combination and an AdaBoost-based robust fingertip detector under dynamic lighting conditions, against complicated backgrounds and (ii) one-handed mobile HCI using finger motion and fingertip pointer tracking.
Keywords :
cameras; gradient methods; human computer interaction; image motion analysis; learning (artificial intelligence); mobile computing; mobile radio; AdaBoost-based robust fingertip detector; dynamic lighting conditions; fingertip pointer tracking; index finger; mobile device; morphological gradient combination; one-handed mobile HCI; rear-facing mobile camera-based finger motion command recognition system;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2013.2203
