Inferring Cognitive Load using Wireless Signals

Tilen Matkovič (2018) Inferring Cognitive Load using Wireless Signals. MSc thesis.

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Abstract

From not disturbing a focused programmer, to entertaining a restless commuter waiting for a train, ubiquitous computing devices could greatly enhance their interaction with humans, should these devices only be aware of the user's cognitive load. However, current means of assessing cognitive load are, with a few exceptions, based on intrusive methods requiring physical contact of the measurement equipment and the user. In this thesis we propose Wi-Mind, a system for remote cognitive load assessment through wireless sensing. Wi-Mind is based on a software-defined radio-based radar that measures sub-millimeter movements related to a person's breathing and heartbeats, which, in turn allow us to infer the person's cognitive load. We built the system and tested it with 23 volunteers being engaged in different tasks. Results show that while Wi-Mind manges to detect whether one is engaged in a cognitively demanding task, the inference of the exact cognitive load level remains challenging.

Item Type:

Thesis (MSc thesis)

Keywords:

vital signs, signal processing, data mining, cognitive load, wireless sensing, software-defined radio

Number of Pages:

Language of Content:

English

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Veljko Pejović		Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538068931)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4317

Date Deposited:

15 Nov 2018 10:15

Last Modified:

10 Dec 2018 12:36

URI:

http://eprints.fri.uni-lj.si/id/eprint/4317

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