Yazar "Gongor, Fatma" seçeneğine göre listele

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    Design and Implementation of a Facial Character Analysis Algorithm for Humanoid Robots
    (Cambridge Univ Press, 2019) Gongor, Fatma; Tutsoy, Önder
    Humanoid robots (HR) equipped with a sophisticated facial character analysis (FCA) algorithm can able to initiate crucial improvements in human-robot interactions. This paper, for the first time in the literature, proposes a three-stage FCA algorithm for the HR. At the initial stage of this algorithm, the HR detects the face with the Viola-Jones algorithm, and then important facial distance measurements are obtained with the geometric-based facial distance measurement technique. Finally, the measured facial distances are evaluated with the physiognomy science to reveal the characteristic properties of a person. Even though the proposed algorithm can be implemented to all HR, in this paper, it has been specifically applied to NAO HR. The reliability of the developed FCA algorithm is verified by analyzing each terminal decision about the character and its connection with the measured facial distances in the anatomy science.
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    Doctor Robots: Design and Implementation of a Heart Rate Estimation Algorithm
    (Springer, 2022) Gongor, Fatma; Tutsoy, Önder
    Populations are ageing and the healthcare costs are increasing accordingly. Humanoid Robots (HRs) perform basic but crucial health checkups such as the heart rate can efficiently meet the healthcare demands. This paper develops a 9-stage heart rate estimation algorithm and implements it to an HR. The 9-stages cover the recognition of the face with the Viola-Jones algorithm, determination of the facial regions with the geometric-based facial distance measurement technique, extraction of the forehead and cheek regions, tracking of these facial regions with the Hierarchical Multi Resolution algorithm, decomposition of the facial regions in the Red-Green-Blue (RGB) color channels, averaging and normalization of the RGB color data, elimination of the artifacts with the Adaptive Independent Component Analysis (ICA) technique, calculating the power spectrum of the data with the Fast Fourier Transform (FFT) technique, and finally determining the peaks inside the threshold reflecting the human heart rate boundaries. One of the key contributions of this paper is building and incorporating the Hierarchical Multi Resolution technique in the heart rate estimation algorithm to eliminate the deteriorating effects of the human and camera motions. A further contribution of this paper is generating a rule-based approach to discard the effects of the sudden movements. These two contributions have noticeably improved the accuracy of the heart rate estimation algorithm in the dynamic environments. The algorithm has been assessed extensively with 5 different experimental scenarios consisting of 33 conditions.
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    Öğe
    Doctor Robots: Design and Implementation of a Heart Rate Estimation Algorithm
    (Springer, 2022) Gongor, Fatma; Tutsoy, Onder
    Populations are ageing and the healthcare costs are increasing accordingly. Humanoid Robots (HRs) perform basic but crucial health checkups such as the heart rate can efficiently meet the healthcare demands. This paper develops a 9-stage heart rate estimation algorithm and implements it to an HR. The 9-stages cover the recognition of the face with the Viola-Jones algorithm, determination of the facial regions with the geometric-based facial distance measurement technique, extraction of the forehead and cheek regions, tracking of these facial regions with the Hierarchical Multi Resolution algorithm, decomposition of the facial regions in the Red-Green-Blue (RGB) color channels, averaging and normalization of the RGB color data, elimination of the artifacts with the Adaptive Independent Component Analysis (ICA) technique, calculating the power spectrum of the data with the Fast Fourier Transform (FFT) technique, and finally determining the peaks inside the threshold reflecting the human heart rate boundaries. One of the key contributions of this paper is building and incorporating the Hierarchical Multi Resolution technique in the heart rate estimation algorithm to eliminate the deteriorating effects of the human and camera motions. A further contribution of this paper is generating a rule-based approach to discard the effects of the sudden movements. These two contributions have noticeably improved the accuracy of the heart rate estimation algorithm in the dynamic environments. The algorithm has been assessed extensively with 5 different experimental scenarios consisting of 33 conditions.
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    Öğe
    On the Remarkable Advancement of Assistive Robotics in Human-Robot Interaction-Based Health-Care Applications: An Exploratory Overview of the Literature
    (Taylor & Francis Inc, 2024) Gongor, Fatma; Tutsoy, Önder
    With the rapid advancement of technology, assistive robotic entities have arisen as indispensable instruments within diverse Human-Robot Interaction (HRI)-based health-care applications. By integrating Artificial Intelligence (AI) into these assistive robotic entities, they gain the capacity to autonomously perceive, engage in sophisticated reasoning, and execute actions within highly dynamic and complex environments. In light of these impressive achievements, this paper highlights a three-stage exploratory overview of the literature on the remarkable advancement of assistive robotics in HRI-based health-care applications. The first stage initiates an assessment of assistive robotics spanning historical epochs from ancient to modern times. Following this, the second stage comprehensively explores assistive robotics investigations in the realm of HRI-based health-care with its four sub-fields including rehabilitation, geriatric-care, pediatric-care, and nursing. Finally, the third stage entails a thorough analysis of the common challenges encountered in these pertinent investigations and provides a set of recommendations. This comprehensive paper not only provides an abundance of studies for each concept, method, and application in HRI, but it also presents their theoretical foundations, strengths, gaps, critical challenges, and recommendations. The results of the conducted exploratory overview shed light on the noteworthy prominence of assistive robotic entities within the HRI-based health-care field. The acquired findings emphasize the positive impact of such entities on human health, affirming their pivotal role in contributing to the advancement and effectiveness of health-care interventions. Furthermore, this paper provides an opportunity for scholars and researchers actively engaged in the pertinent field to obtain comprehensive additional insights, serving as a guiding resource for their academic endeavors.
  • [ X ]
    Öğe
    On the Remarkable Advancement of Assistive Robotics in Human-Robot Interaction-Based Health-Care Applications: An Exploratory Overview of the Literature
    (Taylor & Francis Inc, 2024) Gongor, Fatma; Tutsoy, Onder
    With the rapid advancement of technology, assistive robotic entities have arisen as indispensable instruments within diverse Human-Robot Interaction (HRI)-based health-care applications. By integrating Artificial Intelligence (AI) into these assistive robotic entities, they gain the capacity to autonomously perceive, engage in sophisticated reasoning, and execute actions within highly dynamic and complex environments. In light of these impressive achievements, this paper highlights a three-stage exploratory overview of the literature on the remarkable advancement of assistive robotics in HRI-based health-care applications. The first stage initiates an assessment of assistive robotics spanning historical epochs from ancient to modern times. Following this, the second stage comprehensively explores assistive robotics investigations in the realm of HRI-based health-care with its four sub-fields including rehabilitation, geriatric-care, pediatric-care, and nursing. Finally, the third stage entails a thorough analysis of the common challenges encountered in these pertinent investigations and provides a set of recommendations. This comprehensive paper not only provides an abundance of studies for each concept, method, and application in HRI, but it also presents their theoretical foundations, strengths, gaps, critical challenges, and recommendations. The results of the conducted exploratory overview shed light on the noteworthy prominence of assistive robotic entities within the HRI-based health-care field. The acquired findings emphasize the positive impact of such entities on human health, affirming their pivotal role in contributing to the advancement and effectiveness of health-care interventions. Furthermore, this paper provides an opportunity for scholars and researchers actively engaged in the pertinent field to obtain comprehensive additional insights, serving as a guiding resource for their academic endeavors.