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A development of non-invasive optical technique to investigate the feasibility of fatigue using skin color extraction

Ariyanti S.W.a,b, Prihatmanto A.S.a, Priyana Y.a, Kim C.S.b

a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Indonesia
b Dept. of IT Convergence and Application Engineering, Pukyong National University, South Korea

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016 IEEE.A development of Human-Computer Interface (HCI) technology is proposed to estimate and investigate user’s fatigue problem with non-invasive optical technique using web-camera sensor. Two kind of parameters are used such as heart rate (HR) as the physiological sign by processing the change of the skin color from face area and separating the signal color that normalized and analyzed using Independent Component Analysis (ICA) and then optimized with Fast Fourier Transform (FFT) algorithm. Eye blinking as the facial features also used as the second parameter that processed using centroid (color-based extraction) method which means observing the darkest area around the eyes in order to count the openness and closeness stage as the result. The image processing using computer vision technique and design to perform in real-Time as a smart personal health care through desktop application. Notification also perform as an alert to remind the user’s condition while in a fatigue state and present in the measurement result which also used to review the proposed system performance. Furthermore, the whole system is developed and implemented to be a reliable and cost effective with providing a convenient, provision of health and social care, ease and simplicity of use to the end user.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]centroid,Facial feature,Human computer interfaces,non-invasive,physiological sign[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]centroid,computer vision,facial features,fast fourier transform,human-computer interface,independent component analysis,non-invasive,physiological sign[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/INAES.2016.7821898[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]