MMI (multimodal interfaces) for interactive communication and navigation

1. The most of face recognition applications require:

		a)	recognition in real time
		b)	low recognition rate
		c)	illumination variance
		d)	pose variation

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2. In the case where all faces in the images are detected we talk about:

		a)	standard face recognition
		b)	speech recognition
		c)	multi-face recognition
		d)	face verification

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3. Multivel identification uses:

		a)	only PIN
		b)	only password
		c)	biometric modalities
		d)	biometric modalities in combination with password and PIN

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4. What are the main challenges of speaker identification:

		a)	background noise
		b)	recording devices
		c)	mismatch between training and testing conditions and speaker variability
		d)	language

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5. What are the advantages of using speech for user identifications:

		a)	low variability
		b)	non-invasive method and easy to acquire
		c)	very high accuracy
		d)	high resistance to adverse conditions

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6. Which system reaches highest accuracy:

		a)	text dependent
		b)	text independent
		c)	system based on high level features
		d)	system based on prosodic features

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7. What is the most difficult task for speech recognition:

		a)	isolated words
		b)	dictated speech
		c)	natural speech
		d)	speaker independent recognition

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8. What is the main application of DTW method:

		a)	continuous speech
		b)	speaker dependent and isolated words
		c)	speaker independent
		d)	natural speech and speaker independent

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9. What is the main advantage of HMM method:

		a)	easy to compute
		b)	easy to train
		c)	low training database
		d)	easy use for speaker independent system and natural speech

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10. DTW calculates:

		a)	global acoustical distance between reference and unknown words
		b)	distance only between words of the same lengths
		c)	probability of a given word
		d)	accuracy of speech recognition

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11. HMM calculates:

		a)	probability of speech on a given model
		b)	probability of a correct recognition
		c)	global acoustical distance between reference and unknown words
		d)	probability of a word

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12. DTW uses:

		a)	transition matrix
		b)	local and global distance matrices
		c)	vector of apriory probability
		d)	neural networks

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13. HMM uses:

		a)	local distance matrix
		b)	local and global distance matrices
		c)	acoustical distance
		d)	transition matrix, probability of generating observations in a state

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14. Static gestures represent:

		a)	shapes of the gesturing limbs
		b)	motion
		c)	trajectory
		d)	pose

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15. Prolonged tracking of movement where no specific pose is recognized but the movement is used is called:

		a)	static gesture
		b)	dynamic gesture
		c)	swipe gesture
		d)	continuous gesture

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16. Movement that allows users to directly manipulate an object or control application is called:

		a)	static gesture
		b)	dynamic gesture
		c)	swipe gesture
		d)	continual gesture

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17. Depth camera uses:

		a)	RGB sensor
		b)	blue light
		c)	infra-red light
		d)	nothing special

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18. Approach for gesture recognition where a camera serves as a human eye to record body positions is called:

		a)	vision-based approach
		b)	data glove
		c)	convexity defects
		d)	pose approach

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19. Convexity defects algorithm is mainly used for recognition of:

		a)	static gesture
		b)	dynamic gesture
		c)	swipe gesture
		d)	continuous gesture

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20. Following method is not used for dynamic gesture recognition:

		a)	Golden Section Search
		b)	Incremental Recognition Algorithm
		c)	Hidden Markov Model
		d)	Euclid distance

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21. Interface which consists of several topics and modules which serve for natural and user-friendly communication with the system is called:

		a)	graphical user interface
		b)	multi-level identification interface
		c)	standard interface
		d)	multimodal interface

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22. The graphical user interface (GUI) represents:

		a)	is synonymous for user experience
		b)	a way for interaction between humans and machines
		c)	hardware of PC
		d)	software of PC

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23. Parts of MMI interface are called:

		a)	modalities
		b)	levels
		c)	components
		d)	modules

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