TY - JOUR
T1 - Smart Living
T2 - An Interactive Control System for Household Appliances
AU - Su, Mu Chun
AU - Chen, Jieh Haur
AU - Arifai, Achmad Muhyidin
AU - Tsai, Sung Yang
AU - Wei, Hsi Hsien
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology (MOST), Taiwan, through the Promoting Academic Excellent of Universities Program, under Grant MOST 109-2622-E-008-018-CC2, Grant MOST 109-2221-E-008-059-MY3, Grant MOST 109-2634-F-008-007, Grant MOST 108-2221-E-008-002-MY, and Grant MOST 107-2221-E-008-084-MY2.
Publisher Copyright:
© 2013 IEEE.
PY - 2021/1
Y1 - 2021/1
N2 - Hand-gesture based control has enormous potential both theoretically and for practical applications due to its convenience and intuitiveness. This study presents a real-time interactive control system for household appliances. The interactive control system allowing wireless control of household appliances using a combination of 11 hand gestures and 2 waving motions is tested on hundreds of samples. It is implemented using a regular personal computer (PC) and existing digital single processing (DSP) platforms. The evaluation results show that the system performs efficiently reaching an accuracy recognition rate of 91% and spending around 30 seconds to complete the control operation for household appliances. The contributions of this work are both academic (1) successful demonstration of the integration of algorithms for solving image detection, processing, and pattern recognition, and practical (2) showing its feasibility and using commonly available hardware and software configurations for practical uses, and finally (3) establishing a mechanism for intuitively interactive control system that facilitates smart living.
AB - Hand-gesture based control has enormous potential both theoretically and for practical applications due to its convenience and intuitiveness. This study presents a real-time interactive control system for household appliances. The interactive control system allowing wireless control of household appliances using a combination of 11 hand gestures and 2 waving motions is tested on hundreds of samples. It is implemented using a regular personal computer (PC) and existing digital single processing (DSP) platforms. The evaluation results show that the system performs efficiently reaching an accuracy recognition rate of 91% and spending around 30 seconds to complete the control operation for household appliances. The contributions of this work are both academic (1) successful demonstration of the integration of algorithms for solving image detection, processing, and pattern recognition, and practical (2) showing its feasibility and using commonly available hardware and software configurations for practical uses, and finally (3) establishing a mechanism for intuitively interactive control system that facilitates smart living.
KW - hand gesture recognition
KW - household appliance control
KW - human computer interaction
KW - Smart home
UR - http://www.scopus.com/inward/record.url?scp=85099545192&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3051253
DO - 10.1109/ACCESS.2021.3051253
M3 - Journal article
AN - SCOPUS:85099545192
SN - 2169-3536
VL - 9
SP - 14897
EP - 14904
JO - IEEE Access
JF - IEEE Access
M1 - 9321321
ER -