Assessment of cognitive load from bio-potentials measured using wearable endosomatic device-Reference-Cited by-同舟云学术

Assessment of cognitive load from bio-potentials measured using wearable endosomatic device

Published:2020-06-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th ACM Workshop on Wearable Systems and Applications
language:
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Author:

Jaiswal Dibyanshu¹,Moulick Madhurima²,Chatterjee Debatri³,Ranjan Rajesh²,Ramakrishnan Ramesh Kumar¹,Pal Arpan¹,Ghosh Ratna²

Affiliation:

1. TCS Research and Innovation

2. Jadavpur University

3. TCS Innovation Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3396870.3400012

Reference24 articles.

1. Design and characterization of a real-time, wearable, endosomatic electrodermal system

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

3. Automation of feature engineering for IoT analytics

4. Wolfram Boucsein. Electrodermal activity. (2012). Wolfram Boucsein. Electrodermal activity. (2012).

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