2021 International Conference on Emerging Smart Computing and Informatics (ESCI) 2021
DOI: 10.1109/esci50559.2021.9396891
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Face Recognition of Children Using AI Classification Approaches

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Cited by 10 publications
(7 citation statements)
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“…In general, the existing studies applied artificial intelligence technologies to these intelligent robots for better interaction with children, particularly children with interaction disorders such as ASD or Down syndrome. For example, deep learning-based computer vision is used to recognise the children's facial emotions and present facial emotions to children for building friendly interaction with children (Del Coco et al 2017;Kamble and Dale 2021;Haibin 2012;Vanderborght et al 2012;Malmir et al 2013). In addition, many intelligent robots (Breemen et al 2005;Hsiao et al 2015;Osada et al 2006;Goris et al 2010) provide the function of facial emotion recognition and facial expressions.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In general, the existing studies applied artificial intelligence technologies to these intelligent robots for better interaction with children, particularly children with interaction disorders such as ASD or Down syndrome. For example, deep learning-based computer vision is used to recognise the children's facial emotions and present facial emotions to children for building friendly interaction with children (Del Coco et al 2017;Kamble and Dale 2021;Haibin 2012;Vanderborght et al 2012;Malmir et al 2013). In addition, many intelligent robots (Breemen et al 2005;Hsiao et al 2015;Osada et al 2006;Goris et al 2010) provide the function of facial emotion recognition and facial expressions.…”
Section: Discussionmentioning
confidence: 99%
“…The convolutional neural network and k-nearest neighbour classification are applied to recognize children's faces. Kamble and Dale (2021) addressed the various face recognition technologies using different classifications in children. The results show that the approaches of machine learning and deep learning can be used to track facial changes in childhood with remarkable recognition accuracy.…”
Section: Tablementioning
confidence: 99%
“…The footprint [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] and fingerprint modalities are studied more for children recognition among all other modalities. The palmprint, face [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], ear [24], [25], [26], [27], iris [28], [29], [30], [31] and headprint [32] are least studied modalities. These Physiological biometric modalities are mentioned in the figure 1.…”
Section: Introductionmentioning
confidence: 99%
“…The rate of mishaps happening to them is increasing day by day due to non-availability of the authentic system for recognition of them. Researchers studied the different biometrics like face [1,2,3,4], palmprint [5], footprint [6], ear [7] and headprints [8] for recognition of children.…”
Section: Introductionmentioning
confidence: 99%