2019
DOI: 10.1109/access.2019.2923678
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An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children

Abstract: Robot-mediated therapies for autism spectrum disorder (ASD) have shown promising results in the past. We have proposed a novel mathematical model based on an adaptive multi-robot therapy of ASD children focusing on two main impairments in autism: 1) joint attention and 2) imitation. Joint attention intervention is based on three different least-to-most (LTM) cues, whereas the adaptive imitation module uses joint attention for activation of the robot. The proposed model uses a multi-robot system as a therapist … Show more

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Cited by 54 publications
(59 citation statements)
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“…The proposed therapy uses a NAO humanoid robot for ASD children. NAO is widely used for therapies in autism because of its anthropomorphic appearance [35], [36]. The robot is programmed to give three different kinds of stimuli to categorize the most effective stimulus for a particular level of autism.…”
Section: A Purpose Of Studymentioning
confidence: 99%
“…The proposed therapy uses a NAO humanoid robot for ASD children. NAO is widely used for therapies in autism because of its anthropomorphic appearance [35], [36]. The robot is programmed to give three different kinds of stimuli to categorize the most effective stimulus for a particular level of autism.…”
Section: A Purpose Of Studymentioning
confidence: 99%
“…The generalizability of the existing bullying scales in countries like Pakistan, where English is not the first language must also be considered, because some words convey different meanings in different cultures. Sometimes, it is also hard to find suitable substitute for a particular English word while translating the statements, which may change its meaning, especially when using technical terms in a specific context [29][30][31]. Language barriers could also influence the accurate assessment of workplace bullying.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to VIPs' outdoor mobility, computer vision and data processing approaches have been applied into diverse application domains such as autonomous vehicles for the intelligent traffic sign recognition [14], video surveillance [15] for the real-time tracking object tracking, aerospace [16,17] for live cockpit monitoring, underground mapping of objects [18], clustering of objects [19], biomedical [20,21] for skin lesions characterisation and diabetes prediction, robotics [22][23][24][25] for multi-sensor data fusion, multi-obstacle detection [26] using laser scanner, self-driving cars [27], speech template matching [28,29], healthcare technologies [30][31][32][33][34][35], and other adjacent domains. Likewise, recent research advancement include autonomous scene recognition using advance computer vision.…”
Section: Related Workmentioning
confidence: 99%