Recognition of Behaviour Patterns for People with Profound Intellectual and Multiple Disabilities

被引：0

作者：

Dovgan, Erik ^{[1
]}

Valic, Jakob ^{[1
]}

Slapnicar, Gasper ^{[1
]}

Lustrek, Mitja ^{[1
]}

机构：

[1] Jozef Stefan Inst, Dept Intelligent Syst, SI-1000 Ljubljana, Slovenia

来源：

UBICOMP/ISWC '21 ADJUNCT: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2021年

基金：

欧盟地平线“2020”;

关键词：

Decision Support System; Pattern Recognition; People with PIMD;

D O I：

10.1145/3460418.3479370

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

People with profound intellectual and multiple disabilities (PIMD) are hard to understand because they are not capable of symbolic communication. Artificial intelligence can play a key role in recognizing behavior patterns with which they express themselves. It can thus assist new caregivers that are not familiar with a PIMD person. Within the INSENSION project, we developed a behavior pattern recognition approach that classifies a person's inner states and communication attempts based on his/her facial expressions, gestures, vocalizations, and physiological signals.

引用

页码：523 / 527

页数：5

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