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TRACKING AND MONITORING OF CLINICAL LABORATORY SAMPLE COLLECTION
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Abstract: The communication between the user and the computer can be done through various input devices such as the keyboard, mouse etc. This paper shows a more intuitive and natural form of communication that is via hand gestures. The gestures performed by the user are recognized by the system and the action specified to the program is performed, henceforth eliminating the use of any of the hardware input devices completely. This method involves the usage of image processing to recognize the gestures and has built in functions for every gesture provided by the PyAutoGUI module. This method uses the Python Coding and uses the OpenCV library provided by Python. The experiments clearly prove that the implementation is very reliable for practical use.
Keywords: Gestures, OpenCV library, PyAutoGUI, Python
Keywords: Gestures, OpenCV library, PyAutoGUI, Python
How to Cite:
[1] Nikita Manala, Neer Shah, Snehal Shinde, Jayprakash Singh, Dr.Rajiv Iyer, βTRACKING AND MONITORING OF CLINICAL LABORATORY SAMPLE COLLECTION,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2021.9429
