Title :
Gesture recognition model based on 3D accelerations
Author :
Jun-qi Kong ; Hui Wang ; Guang-Quan Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
Abstract :
This paper presents a recognition model on gesture interaction, gesture recognition based on accelerations, which are collected by 3D accelerometer. Unlike most other vision-based gesture recognition, our method resorting to accelerations of the gesture in three directions. Gesture is divided into small units, and each unit is modeled by an HMM, the HMM classifies the gesture unit after being well trained, the gesture identified when all of the corresponding gesture units recognized successfully, then the instruction will be triggered, and the human-computer interaction achieved. Through experiments, the method proved to be effective. This recognition model can be wildly used in the field of mobile computing and remote control, and people could use computer more friendly and naturally.
Keywords :
gesture recognition; hidden Markov models; human computer interaction; 3D accelerations; 3D accelerometer; HMM classifies; hidden Markov model; human-computer interaction; mobile computing; remote control; vision-based gesture recognition model; Acceleration; Accelerometers; Computer science; Computer science education; Educational technology; Hidden Markov models; Humans; Mobile computing; Paper technology; User interfaces; acceleration; gesture recognition; recognition model;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228524