智能多模態感知系統與算法及其在特殊教育中的應用

Research output: Contribution to conferencePapers

Abstract

多模態信息融合與智能算法的融合為傳統的特殊教育行為評估帶來了新的見解和視角。系統可通過多模態傳感器(如眼動儀、運動傳感器和壓力傳感器)來獲得精細的高頻數據。然後通過智能算法對數據進行自動處理、分割、識別和解釋。與高度依賴人類專家的傳統方法相比,智能系統可以為特殊教育中的行為評估提供一種高效、客觀的替代方案。在本次講座中,講者將介紹她在結合眼動和運動追踪技術的發展性協調障礙的數字化評估方法,以及基於凝視-姿勢-運動追踪融合的智能筆跡評估方面的研究。

Integration of multimodal information fusion and intelligent algorithms brings new insights and perspectives in improving traditional behavior assessment in special education. Fine granular and high frequency data could be obtained through an integrated system with multiple sensors such as eye tracker, motion sensor and pressure sensors. Then the data could be processed, segmented, recognized and interpreted by intelligent algorithms. Compared with traditional methods which highly rely on human experts, the intelligent system could provide an efficient and objective alternative, to enhance the behavior assessment in special education. In this talk, the speaker will introduce her research in digitalized assessment of Developmental Coordination Disorder with integrated eye-motion tracking technology, and intelligent handwriting assessment based on gaze-posture-movement tracking fusion. Copyright © 2022 EDTECH Conference.

Conference

ConferenceEDTECH Conference 2022: Inspiring & Emerging EDTECH in Special Education = EDTECH教育科技研討會2022:特殊教育科技的創新和發展
Country/TerritoryHong Kong
Period09/06/2210/06/22
Internet address

Citation

傅弘 (2022年6月) :智能多模態感知系統與算法及其在特殊教育中的應用,論文發表於「EDTECH教育科技研討會2022:特殊教育科技的創新和發展」,香港,中國。

Keywords

  • Alt. title: Intelligent multimodal sensing system and algorithms in special education