1. Which of the following is a common input device used for gesture recognition?
(A) Microphone
(B) Kinect sensor
(C) Printer
(D) Joystick
2. Which type of gestures involve movement over a period of time?
(A) Static gestures
(B) Dynamic gestures
(C) Visual gestures
(D) Haptic gestures
3. What is the main goal of gesture recognition in image processing?
(A) Image compression
(B) Object detection
(C) Interpreting human motions
(D) Enhancing image resolution
4. Which of the following is NOT a gesture recognition technique?
(A) Hidden Markov Model
(B) Support Vector Machine
(C) Template Matching
(D) JPEG Compression
5. What kind of model is often used for dynamic gesture recognition?
(A) Linear Regression
(B) Convolutional Neural Network
(C) Hidden Markov Model
(D) K-means Clustering
6. Which gesture recognition approach depends on extracting features like shape and motion?
(A) Appearance-based
(B) Data compression-based
(C) Model-based
(D) Signal-based
7. Which algorithm is commonly used for classifying gestures in real-time?
(A) Huffman Coding
(B) K-Nearest Neighbors
(C) Run Length Encoding
(D) Bicubic Interpolation
8. Which method is used to detect hand gestures using depth information?
(A) Histogram Equalization
(B) Skin Color Segmentation
(C) Depth Mapping
(D) Fourier Transform
9. What is the role of skin color detection in gesture recognition?
(A) Background subtraction
(B) Hand segmentation
(C) Data encoding
(D) Texture smoothing
10. Which type of neural network is especially useful for spatial and temporal gesture data?
(A) CNN
(B) ANN
(C) RNN
(D) DBN
11. What is a common challenge in gesture recognition systems?
(A) High-resolution display
(B) Gesture ambiguity
(C) Image resizing
(D) PDF export
12. Which hardware is most associated with gesture capture in 3D space?
(A) RGB camera
(B) Thermal sensor
(C) Depth sensor
(D) Microphone
13. Which of the following gestures is considered static?
(A) Hand wave
(B) Thumbs up
(C) Pointing motion
(D) Circular hand movement
14. Which method is used to analyze motion trajectories in gesture recognition?
(A) Edge detection
(B) Motion vector analysis
(C) Huffman tree traversal
(D) Color histogram
15. Which gesture recognition technique is based on a predefined set of templates?
(A) Statistical modeling
(B) Template matching
(C) Clustering
(D) Normalization
16. Which device offers both RGB and depth sensing for gesture analysis?
(A) Webcam
(B) DSLR camera
(C) Microsoft Kinect
(D) Smartwatch
17. What does the preprocessing stage in gesture recognition usually involve?
(A) Gesture classification
(B) Gesture labeling
(C) Background subtraction
(D) Gesture synthesis
18. Which algorithm helps in tracking hand movements over time?
(A) Kalman Filter
(B) Sobel Edge Detector
(C) DCT
(D) JPEG Compression
19. What is used to represent temporal sequences in dynamic gesture recognition?
(A) Static vectors
(B) Motion trajectories
(C) Color maps
(D) Segmentation masks
20. Which gesture recognition technique uses both position and motion information?
(A) Optical flow
(B) Median filter
(C) Histogram equalization
(D) Thresholding
21. What feature is commonly extracted for hand shape analysis?
(A) Audio pitch
(B) Contour
(C) Barcode
(D) Fractal noise
22. Which model is suitable for sequential gesture recognition?
(A) SVM
(B) Decision Tree
(C) Hidden Markov Model
(D) Linear Regression
23. Which algorithm is useful for gesture classification when the dataset is nonlinear?
(A) SVM with RBF kernel
(B) K-means
(C) Thresholding
(D) Run-length encoding
24. What does hand gesture recognition help to achieve in HCI?
(A) Color correction
(B) Natural interaction
(C) File encryption
(D) Data compression
25. Which of the following sensors is NOT typically used in gesture recognition?
(A) Gyroscope
(B) Accelerometer
(C) Barometer
(D) Depth camera
26. Which gesture recognition approach uses probabilistic transitions between states?
(A) Template Matching
(B) Neural Networks
(C) HMM
(D) K-means
27. Which method is used to improve robustness to lighting conditions in hand gesture recognition?
(A) RGB normalization
(B) Color quantization
(C) Skin tone conversion
(D) Illumination-invariant features
28. Which of the following is a gesture-based interface?
(A) Touchpad
(B) Keyboard
(C) Leap Motion
(D) Speaker
29. What is the benefit of using depth information in gesture recognition?
(A) High color resolution
(B) Temporal stability
(C) Robust hand segmentation
(D) Edge smoothing
30. Which of the following uses infrared sensing for gesture input?
(A) Thermal camera
(B) Infrared remote
(C) Leap Motion controller
(D) Webcam
31. In gesture recognition, what does ROI usually refer to?
(A) Return on Investment
(B) Range of Input
(C) Region of Interest
(D) Rate of Integration
32. Which of the following techniques can be used for feature dimensionality reduction?
(A) PCA
(B) JPEG
(C) Edge linking
(D) Histogram equalization
33. What is the main limitation of 2D gesture recognition systems?
(A) High accuracy
(B) Depth ambiguity
(C) Low cost
(D) Fast response time
34. Which signal is commonly used in sensor-based gesture recognition systems?
(A) Digital signal
(B) Acoustic signal
(C) Acceleration signal
(D) Text signal
35. What is the function of feature extraction in gesture recognition?
(A) Compress the data
(B) Store the gestures
(C) Represent gesture data meaningfully
(D) Remove gestures from memory
36. Which technique improves accuracy in noisy gesture environments?
(A) Denoising autoencoder
(B) Histogram flattening
(C) Binary thresholding
(D) Pixel padding
37. Which of the following is NOT a challenge in gesture recognition?
(A) Occlusion
(B) Illumination variation
(C) Gesture clarity
(D) Image magnification
38. Which color model is often used for skin detection in hand tracking?
(A) CMYK
(B) HSV
(C) Grayscale
(D) RGB only
39. Which is a real-world application of gesture recognition?
(A) E-commerce pricing
(B) Touchscreen brightness control
(C) Sign language interpretation
(D) Document printing
40. Which technique is useful for segmenting moving hands from the background?
(A) Motion detection
(B) JPEG compression
(C) Color balancing
(D) Watermarking
41. Which factor is crucial in selecting gesture recognition hardware?
(A) Speaker size
(B) Memory space
(C) Frame rate
(D) Network speed
42. Which kind of gesture is used in air-writing applications?
(A) Static
(B) Continuous dynamic
(C) Discrete
(D) Multi-modal
43. Which method maps gesture data to pre-defined commands?
(A) Regression
(B) Gesture-to-action mapping
(C) Histogram matching
(D) Kalman filtering
44. Which machine learning technique is widely applied in gesture classification?
(A) Huffman Trees
(B) Support Vector Machines
(C) Edge detection
(D) Discrete Cosine Transform
45. In dynamic gestures, what helps differentiate similar-looking gestures?
(A) Frame rate
(B) Motion trajectory
(C) Gesture label
(D) Image quality
46. Which of the following is a multimodal input for gesture recognition?
(A) Only camera
(B) Only microphone
(C) Camera and accelerometer
(D) Only gyroscope
47. Which algorithm is used to track features across video frames?
(A) Optical flow
(B) Histogram equalization
(C) Color enhancement
(D) Edge sharpening
48. What is one benefit of using CNN in gesture recognition?
(A) Compresses videos
(B) Enhances color contrast
(C) Learns spatial features
(D) Speeds up downloads
49. Which software library is widely used for computer vision in gesture applications?
(A) NumPy
(B) Matplotlib
(C) OpenCV
(D) TensorBoard
50. Which component is essential for recognizing hand gestures in real-time applications?
(A) High-resolution printer
(B) Real-time processing unit
(C) Image compression tool
(D) Audio amplifier
