Effective Assessment of Cognitive Load in Real-World Scenarios using Wrist-worn Sensor Data-Reference-Cited by-同舟云学术

Effective Assessment of Cognitive Load in Real-World Scenarios using Wrist-worn Sensor Data

Published:2021-06-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Body-Centric Computing Systems
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Author:

Jaiswal Dibyanshu¹,Chatterjee Debatri¹,Gavas Rahul²,Ramakrishnan Ramesh Kumar²,Pal Arpan¹

Affiliation:

1. TCS Research, Kolkata, India

2. TCS Research, Banglore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469260.3469666

Reference37 articles.

1. S Banerjee and et al. 2016. Towards wide learning: Experiments in healthcare. arXiv preprint arXiv:1612.05730 (2016). S Banerjee and et al. 2016. Towards wide learning: Experiments in healthcare. arXiv preprint arXiv:1612.05730 (2016).

2. S Banerjee and et al. 2018. Automation of feature engineering for iot analytics. ACM sigbed review (2018). S Banerjee and et al. 2018. Automation of feature engineering for iot analytics. ACM sigbed review (2018).

3. P Chandler and et al. 1996. Cognitive load while learning to use a computer program. Applied cognitive psychology (1996). P Chandler and et al. 1996. Cognitive load while learning to use a computer program. Applied cognitive psychology (1996).

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