Using Physiological Signals and Machine Learning Algorithms to Measure Attentiveness During Robot-Assisted Social Skills Intervention: A Case Study of Two Children with Autism Spectrum Disorder-Reference-Cited by-同舟云学术

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Using Physiological Signals and Machine Learning Algorithms to Measure Attentiveness During Robot-Assisted Social Skills Intervention: A Case Study of Two Children with Autism Spectrum Disorder

Published:2023-05 Issue:3 Volume:26 Page:39-45
ISSN:1094-6969
Container-title:IEEE Instrumentation & Measurement Magazine
language:
Short-container-title:IEEE Instrum. Meas. Mag.

Author:

Welch Karla Conn,Pennington Robert,Vanaparthy Saipruthvi,Do Ha Manh,Narayanan Rohit,Popa Dan,Barnes Gregory,Kuravackel Grace

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation,General Medicine

Link

http://xplorestaging.ieee.org/ielx7/5289/10121387/10121412.pdf?arnumber=10121412

Reference29 articles.

1. The Affective Computing Approach to Affect Measurement

2. A System to Measure Physiological Response During Social Interaction in VR for Children With ASD

3. Understanding Privacy Risks and Perceived Benefits in Open Dataset Collection for Mobile Affective Computing

4. A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

5. Multimodal Classification of Stressful Environments in Visually Impaired Mobility Using EEG and Peripheral Biosignals

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life;Psychological Medicine;2023-10-20

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