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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ZUBAIR ADEL SOOMRO, ZUBAIR ADEL SOOMRO, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ADRIANS, ANDI, HAZELI, MOHD

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABD HALIM, RUZAIR1, ADRIAN, ANDI, HAZELI, MOHD

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot by Soomro, Zubair Adil, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…In particular, nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called Attentive Recognition Model (ARM) is proposed to recognize a person’s attentiveness, which improves the accuracy of detection and subjective experience during nonverbal HRI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZIJBAIR ADEL, SHANISUDIN, ABU UBAIDAH, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ADRIANSHAH, ANDI, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABDUl RAHIM, RUZAIRI, ADRIAN, ANDI, HAZELI, MOHD

“…In particular, nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. 1n this paper, a conceptual attentiveness model algorithm called Attentive Recognition Model (ARM) is proposed to recognize a person's aLi:~ntivencss, which improves tne a-::Jtac~· of detection and subjective experience during nonverbal dRI using three combined detection models: face tracking, iris tracking and eye blin:.…”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ADEL SOOMP, ZIJBAIR, SHANISUDIN, ABU UBAIDAH, NT ABD, RUZAIR, DRIAN, RAHEVI AMA, MOIED HALELI, AH

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model by Oh, Chai Lian

“…Active changes in forces in element groups even within the far-away element groups of SBS models are observed during the shape change analysis. In conclusion, the findings of this basic study have paved the way for realization of spine inspired flexible arm with magnitude shape change ability.…”
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