TY - GEN
T1 - Interacting with a self-portrait camera using motion-based hand gestures
AU - Chu, Shaowei
AU - Tanaka, Jiro
PY - 2013
Y1 - 2013
N2 - Taking self-portraits with a digital camera is a popular way to present oneself through photography. Traditional techniques for taking self-portraits, such as use of selftimers or face detection, provide only a modest degree of interaction between the user and camera. In this paper, we present an interaction technique that make novel use of image-processing algorithm to recognize hand motion gestures and provides user a natural way to interact with camera for taking self-portraits. User can perform nature gestures to control essential functions of camera and take self-portraits effectively. Three types of gesture (i.e., waving, eight-direction selection, and circling were identified and applied to develop a gesture user interface for controlling a Digital Single-Lens Reflex (DSLR) camera. Two experiments were conducted to evaluate the usability and performance of the gesture interface. The results confirmed that the usability of the gesture interface is superior to a self-timer and the proposed technique achieved about 80% accurate recognition of motion gestures.
AB - Taking self-portraits with a digital camera is a popular way to present oneself through photography. Traditional techniques for taking self-portraits, such as use of selftimers or face detection, provide only a modest degree of interaction between the user and camera. In this paper, we present an interaction technique that make novel use of image-processing algorithm to recognize hand motion gestures and provides user a natural way to interact with camera for taking self-portraits. User can perform nature gestures to control essential functions of camera and take self-portraits effectively. Three types of gesture (i.e., waving, eight-direction selection, and circling were identified and applied to develop a gesture user interface for controlling a Digital Single-Lens Reflex (DSLR) camera. Two experiments were conducted to evaluate the usability and performance of the gesture interface. The results confirmed that the usability of the gesture interface is superior to a self-timer and the proposed technique achieved about 80% accurate recognition of motion gestures.
KW - Digital camera
KW - Gesture user interface
KW - Human computer interaction
KW - Image processing
KW - Motion gestures
UR - http://www.scopus.com/inward/record.url?scp=84899863688&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899863688&partnerID=8YFLogxK
U2 - 10.1145/2525194.2525206
DO - 10.1145/2525194.2525206
M3 - Conference contribution
AN - SCOPUS:84899863688
SN - 9781450322539
T3 - ACM International Conference Proceeding Series
SP - 93
EP - 101
BT - APCHI 2013 / India HCI 2013 - Joint Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction and the 5th Indian Conference on Human Computer Interaction
PB - Association for Computing Machinery
T2 - Joint 11th Asia Pacific Conference on Computer Human Interaction, APCHI 2013 and the 5th Indian Conference on Human Computer Interaction, India HCI 2013
Y2 - 24 September 2013 through 27 September 2013
ER -