These systems could not only help children with ASD generalizing learned skills to the real world, but also provide more control over how the basic skills are taught.Īt present, most VR-based platforms have been designed to improve social skill deficits in ASD population.
The VR-based intervention platform is characterized by malleability, controllability, modifiable sensor stimulation, individualized approach, safety, and the potential to reduce problematic aspects of complex adaptive life skills. There are numerous reasons why incorporating VR technology into intervention may be particularly relevant for children and adolescents with ASD. As a result, the development of economical and effective assistive therapeutic tools for autism intervention is urgent.Ī growing number of studies have investigated the application of technology, specifically computer and virtual reality (VR) systems, to autism intervention. However the availability of trained autism clinicians is limited and the cost associated with traditional therapies is enormous. Although at present there is no single accepted intervention, treatment, or known cure for ASD, there is a growing consensus that appropriately targeted individualized behavioral and educational intervention programs have the potential to positively impact the lives of individuals with ASD and their families. The best accuracy for cognitive load measurement was 84.66 %, which was achieved with the hybrid level fusion.Īutism spectrum disorder (ASD) is a common disorder that impacts 1 in 68 children in the US.
We fused multimodal information in three levels: feature level, decision level and hybrid level. We verified classifications’ result with perceived tasks’ difficulty level, which induced different cognitive load. Multiple classification methods and features from different modalities were used to evaluate participant’s cognitive load. Features were extracted from peripheral physiological signals, Electroencephalogram (EEG) signals, eye gaze information and participants’ performance data. This paper studied cognitive load measurement with multimodal information fusion techniques. An appropriate level of cognitive load during training can help improve a participant’s long-term performance. A virtual reality driving system was designed to improve driving skills in individuals with autism spectrum disorder (ASD).