Table 1 The comparison between the presented work and related work underlines the trend in the research area of mental state classification to utilize multimodal data, preferably labeled using scientifically validated questionnaires.

From: Unobtrusive measurement of cognitive load and physiological signals in uncontrolled environments

Publication

Hasan31

Hinss32

Wang33

Hosseini34

CoÅŸkun35

Kang36

Presented

Zaman37

Classification of

Cognitive Load

Cognitive Load

Mental State

Stress

Stress

Mental State

Mental State

Stress

Signals used

Facial Thermal and Visual Cameras, Visual Ceiling Camera

EEG

EEG

EDA, HR, ST, ACC, IBI, BVP

BVP, EDA, ST, Facial Expressions, ACC

ACC, HR, ST, EDA, IBI, and phone sensors

ACC, HR, ST, EDA, EEG, PPG, and Log Data

Facial Thermal and Visual Cameras, Visual Ceiling Camera, EDA, HR, Breathing Rate

Controlled

No

Yes

Yes

No

Yes

No

Yes

Yes

Uncontrolled

Yes

No

No

Yes

No

Yes

Yes

No

Self-Labeled

Yes

Yes

Yes

Yes

No

Yes

Yes

Yes

Expert-Labeled

Yes

No

No

No

Yes

No

Not yet

No

Questionnaires

Standard

Standard

Standard

Non standard

Non standard

Standard

Standard

Standard

Given Tasks

No

Yes

Yes

No

Yes

No

Yes

Yes

Free Tasks

Yes

No

No

Yes

No

Yes

Yes

No

Multi-Modality

Yes

No

No

No

Yes

Yes

Yes

Yes

# Wearables

0

0

0

1

1

1 + phone

2

2

Synchronization

No

No

No

No

Time

Time

Time, Tapping, and Acceleration

No

# Participants

10

29

60

15

25

77

24

63

  1. The lack of advanced synchronization tools for physiological time series can be seen. The biggest limitation, the lack of studies considering both controlled and uncontrolled environments for the same study participants, is demonstrated in rows Controlled and Uncontrolled. The number of wearable devices is another important factor, as actually wearable multi-modality allows for advanced algorithms in real-world use cases. The abbreviations in the Signals-row are: Blood Volume Pulse (BVP), Electrodermal Activity (EDA), Skin Temperature (ST), Acceleration (ACC), Heart Rate (HR), Inter-Beat Interval (IBI), Blood Volume Pulse (BVP), and Photoplethysmogram (PPG). Overall, the number of participants per study is small. The entries in the table are sorted by # Wearables and # Participants in ascending order.