A Method to Control Home Appliances Based on Writing Commands Over the Air

This paper presents a live, free, and real-time video- based pointing method, which allows the users to write hand gesture-based control commands over the air in front of an installed camera in order to control the home appliances. The proposed method has four main parts, viz: finger tracking, OCR analysis, appliance control circuit, and appliance-monitoring system, respectively. The proposed system is tested on two test beds, i.e., computer and mobile device based. Moreover, the proposed system is tested for three different types of communication links, which are dedicated wire, Bluetooth, and global system for mobile (GSM). Results of the performed tests indicate an improvement of 92.023 % in the overall accuracy gained by the proposed system. It is observed that the average recognition time required for per input character is 0.52 s. The average time observed for processing and acknowledgment (from DMG to computer/mobile) is 0.23, 2, 15 s for dedicated wire, Bluetooth, and GSM–SMS-based communication links, respectively.

[1]  Lei Li,et al.  Handwriting and Gestures in the Air, Recognizing on the Fly , 2013 .

[2]  Nilava Debabhuti,et al.  Embedded system for home automation using SMS , 2014, 2014 First International Conference on Automation, Control, Energy and Systems (ACES).

[3]  Utpal V. Solanki,et al.  Hand gesture based remote control for home appliances: Handmote , 2011, 2011 World Congress on Information and Communication Technologies.

[4]  Sami Huttunen,et al.  Motion-based finger tracking for user interaction with mobile devices , 2007 .

[5]  Muhammad Fahad Khan,et al.  Zigbee Based Home Appliances Controlling Through Spoken Commands Using Handheld Devices , 2013 .

[6]  W. Mansor,et al.  EOG signal detection for home appliances activation , 2009, 2009 5th International Colloquium on Signal Processing & Its Applications.

[7]  Abdenour Bouzouane,et al.  How to Maximize the Effectiveness of Prompts in Assistive Technologies According to the Particular Cognitive Profile of People with Alzheimer's Disease? , 2013 .

[8]  Muhammad Fahad Khan,et al.  Controlling Home Appliances Remotely through Voice Command , 2012 .

[9]  mc schraefel,et al.  A Taxonomy of Gestures in Human Computer Interactions , 2005 .

[10]  Chih-Hung Wu,et al.  Depth-based hand gesture recognition for home appliance control , 2013, 2013 IEEE International Symposium on Consumer Electronics (ISCE).

[11]  Mel Slater,et al.  Using a P300 Brain Computer Interface for Smart Home Control , 2009 .

[12]  Günter Edlinger,et al.  A Hybrid Brain-Computer Interface for Smart Home Control , 2011, HCI.