A5024239318- Autism Spectrum Disorder Research
- Assistive Technology in Communication and Mobility
- Child Development and Digital Technology
- Genetics and Neurodevelopmental Disorders
- Animal Genetics and Reproduction
- Science Education and Perceptions
- Attention Deficit Hyperactivity Disorder
Universitatea Națională de Știință și Tehnologie Politehnica București
2020-2022
In the context in which it was demonstrated that humanoid robots are efficient helping children diagnosed with autism exploring their affective state, this paper underlines and proves efficiency of a previously developed machine learning-based mobile application called PandaSays, improved integrated an Alpha 1 Pro robot, discusses performance evaluations using deep convolutional neural networks residual networks. The model trained MobileNet network had accuracy 56.25%, performing better than...
Autism, or autism spectrum disorder (ASD), is a development characterized by difficulties in communication and speech it cannot be cured entirely. The hardest part for individuals with to express their feelings emotions towards others. This paper describes mobile application developed using machine learning algorithms multiclass image classification that needs as input just children's drawings. solution dedicated specially children between 2 5 years old predicts emotional state. has been...
Autism spectrum disorder (ASD), is a neurobehavioural disorder, identified by difficulties in speech, communication, different behaviour and it cannot be cured entirely [21]. This paper presents comparison between Feedforward Neural Networks Convolutional Networks, using children drawings dataset, created from the ground up, order to train best model. The dataset divided five groups, each corresponding an affective state: happy, fear, sad, insecure angry. model will used mobile application...
Autism Spectrum Disorder (ASD) is not fully curable. ASD characterized by behavioral abnormalities, difficulties in expressing their emotions, communication. Therefor an early diagnosis can help children develop social skills and integrate better society as they grow. This paper analyzes the solutions algorithms used for developing applications order to diagnose persons with autism. Critical comparisons have been emphasized between analyzed research works.
This paper continues the research of previous work, regarding PandaSays mobile application, having its main purpose to detect affective state child from his drawings, using MobileNet neural network. Children diagnosed with autism spectrum disorder, have difficulties in expressing their feelings and communicating others. The is help parents tutors that children autism, communicate better them understand feelings. goal was improve model’s accuracy, trained network, which reached value 84.583%....