Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

HMI2 > Lecture 6: Physiological Sensing > Flashcards

Lecture 6: Physiological Sensing Flashcards

1
Q

Why should we use physiologial sensing in HCI?

List some pros and cons of physiological sensing

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Briefly define “Biological signals”

A

Biological signals are space, time, or space-time records of a biological event such as a beating heart or a contracting muscle. The electrical, chemical, and mechanical activity that occurs during this biological event often produces signals that can be measured and analyzed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Name physiological sources for the bio
signals “Bioelectric Signals”, “Electrical conductance” and “Bioimpedance signals”

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Name physiological sources for the bio
signals “Biomagnetic Signals”, “Biomechanical Signals” and “Biochemical Signals”

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Name physiological sources for the bio
signals “Bioacoustic Signals” and “Biooptical Signals”.

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

List some tools/approaches to measure biological signals

A

Bio Potential (ECG, EMG, EEG)

Physical Measurements (Displacement, Air flow, temperature)

Blood gas sensors (blood- oxygen, pH, carbon monoxide)

Bio analytical sensors

Optical sensors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How can we classify Signal Acquisition?

A

Invasive: placement of sensor inside the body
Non-Invasive: On the body, e.g. surface electrodes

Active: external stimuli, e.g. emitting a signal and measuring response

Passive: without external stimuli

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Describe the orign of the signals, measured by: EMG, ECG, EOG, EEG, EP/RP.

A

EMG: electrical signals generated by muscles

ECG: electrical signals that originate from the activity of the human heart

EOG: electrical signals from the change of the cornea-retinal potential due to eye movement

EEG: electrical signals from the brain measured on the scalp with a multichannel data-acquisition device

EP/RP (evoked potential/event related potential): electrical signals as response of the brain to external stimuli. (e.g., viusal stimuli)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Describe the major components in acquiring signals

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are the major steps in signal analysis?

A
  • Amplification
  • Filtering
  • Digitization
  • (Transmission)
  • Processing
  • Transmission / Storage
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Sketch the stages of biosignal processing

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Define “Psychophysiology”

A

Measurement of physiological responses as a proxy for mental activity and behavior.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is the difference between Physiology & Psychophysiology?

A

Human physiology seeks to understand the mechanisms that work to keep the human body alive and functioning.

Human psychophysiology seeks to understand the mechanisms that work to keep the human mind conscious and functioning.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Name a example for the classical systems view:

A
  • knee-jerk reflex: input is mechanical force and output is mechanical motion
  • pupillary light reflex: light is the input and output is mechanical change in iris muscles
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are fundamental challenges of the psychophysiology computing?

A
  1. Psychophysiological inference
  2. Psychophysiological validity
  3. The representation of the user
  4. Awareness and interaction design
  5. The dynamics of the biocybernetic loop
  6. Ethical implications, e.g. autonomy, privacy
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How can we describe BCIs?

A

A system that translates measures of brain activity into commands or messages for an interactive application

17
Q

There are two types of EEG-based BCI-Paradigm. Name this two and give a short description of each. Also show the communication flow between the user and the system.

A
18
Q

What is the P300 in terms of EEG?

A
19
Q

What are advantages of P300 BCI

A
  • Relatively high accuracy
  • Attending to targets is more explicit than imagining limb movement
  • Large and distinctive component
  • Relatively less training is required (cf., motor imagery)
  • Relatively fast calibration time (i.e., 5-10 minutes)
  • More likely to be relevant to non-clinical applications
  • Multiple choice selection
  • High information throughput
  • Accessible to almost all healthy individuals and many
    paralyzed patients
20
Q

What are common signal processing methods for P300?

A

Preprocessing (e.g. Data acquisition from sensors or A/D conversion, typically 256 Hz)

Feature extraction and Classification e.g.:
* Calibration session to learn relevant feature vectors
* Classifier is trained and supervised using a classification algorithm

21
Q

What is the Steady State Visual Evoked Potential (SSVEP)?

A

Oscillatory brain activity in the visual cortex that is synchronized to the frequency of a flickering stimulus.

22
Q

Redesigning BCI interfaces

Describe a example how a BCI interface can be built.

A
23
Q

Describe what cognitive load is and give an example how it can be measured.

A

Cognitive Load:
How much brain capacity is used

Measuring:
Estimating the cognitive load of a person by thermal imaging
(Forehead gets wormer with harder tasks)

HMI2 (15 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions