Abstract
Autism spectrum disorder (ASD) is a kind of developmental disorder which attracted a lot of attention for its urgency and pervasiveness. The rapid development of machine vision technologies have brought new ideas to the auxiliary diagnosis of ASD, such as face detection, gaze estimation, action recognition, etc. The paper proposed a preliminary visual system for assistant diagnosis of ASD in a core clinical testing scenario-Response to Name (NTR). The eye center localization and gaze estimation were applied to measure the responses of the subjects. The main contribution of the article is that an experimental paradigm was established from a visual engineering perspective. The results showed that this system could analyze the response of the child for NTR accurately.
Supported by the National Natural Science Foundation of China (No. 61733011, 51575338).
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Wang, Z., Liu, J., Liu, H. (2019). A Preliminary Visual System for Assistant Diagnosis of ASD: Response to Name. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_7
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DOI: https://doi.org/10.1007/978-981-13-7983-3_7
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