SEN classroom: Future Classroom with AIoT System for SEN Students
Overview
This system enables 1-to-many teaching mode by analysing multimodal IoT data such as vital signs and videos collected during the class. It helps SEN students and therapists to improve learning and teaching effectiveness. Trial run has been conducted in education centers in Singapore and SEN schools in Hong Kong.
Commercialisation opportunities
· IP licensing· Technology co-development
Problem addressed
The number of SEN students has been increasing in the past decade. However, 1-on-1 intensive training is unaffordable for most families. This project enables 1-to-many teaching mode by analysing multimodal data collected during the class. Therapists can adjust the learning task in real-time based on AI recommendation to improve training effectiveness.
Innovation
- Emotion wristband & sleeve for predicting the emotion status of SEN students and enabling training tasks adjustment in real-time
- Video analytic engine for detecting the completion of training tasks by SEN students in class
- Programme recommendation AI engine that can assist the assessment of student performance and the design of Individualized Educational Plan
Key impact
- Affordable and accessible behaviour therapy tailored for each SEN student
- Substantially improve the effectiveness of SEN training through 1-to-multiple classroom setting
- Quality and consistent learning experience across different parents and teachers
Award
- Silver Medal in The 49th International Exhibition of Inventions Geneva (Applied by the customer Bridge AI)
Application
- SEN training & therapy
- Kindergarten education
- Primary education
- Rehabilitation therapy for children
Hong Kong Applied Science and Technology Research Institute (ASTRI)
Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under four Technology Divisions: Trust and AI Technologies; Communications Technologies; IoT Sensing and AI Technologies and Integrated Circuits and Systems. It is applied across six core areas which are Smart City, Financial Technologies, New-Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.
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