Computer Vision Based Interfaces (CVBI) is an emerging technology that enables computers to acquire and process images and gestures for human-computer interaction. It involves image acquisition devices and graphic processing units to interpret visual information, with applications in consumer electronics, security, and industrial automation. Key benefits include enabling distance communication and assisting users with physical disabilities, while challenges include interpretation accuracy and costs.

1. By
Samuel Kibbs
Computer Vision Based Interfaces

2. Introduction
Computer vision based interfaces (CVBI)is one of the
emerging HCI technologies.
This technology enables the computer to acquire and process
images and gestures.
It enables computers to interpret gestures such as waving and
raising hands.
It also enable computers to gather information from the
environment through computer sight/ observation.

3. Concept
Vision is one the main avenues that human use to collect
information.
CVBI technology seek to equip computers with the same
capability.
It seek to enable computers to collect and analyze
information from the environment through visualization.
It entails fitting computers with capabilities for collecting
and processing information from images.

4. Technologies
1. Image acquisition device: Act as the computer eyes as it relays
image to the computer. May include:
 Light sensitive cameras
 Sensors
 Radar imaging
 Structured-light 3D scanners
 Magnetic resonance imaging
2. Image understanding system/ Graphic Processing units
 Processes the image conveyed to the computer
 May process primitive features such as shape, size and texture
 May also process advanced features such as events, objects, and
scenes.

5. Application
Consumer electronics such as televisions.
Mechanical systems such as elevators
Computer games
Visualization systems
Modeling environments or objects
Estimating position of objects
Facial recognition in security systems

6. Application
Scene reconstruction in law enforcement
Event detection in surveillance activities
Object recognition
Navigation
Automatic inspection of industrial machines
Motion analysis
Image restoration

7. Benefits
Enables users to communicate with computing devices at a
distance without physical contact.
Beneficial to users with physical disability
Also suitable in situation where speech commands would
cause nuisance.

8. Development Challenges
The computer could interpret any kind of activity within the
environment as a manipulating action.
There is no single method of image recognition that is
suitable for all applications.
There are also challenges of reliability, cost and speed.

9. References
Tofighi, G., Raahemifar, K., Frank, M., & Gu, H. (2016).
Vision-based engagement detection in virtual reality. Paper
presented at the Digital Media Industry and Academic Forum.
Santorini, Greece.
Badi, H., (2016). A survey on recent vision-based gesture
recognition. Intelligent Industrial Systems, 2(2), 179- 191.

10. References
Tofighi, G., Raahemifar, K., Frank, M., & Gu, H. (2016).
Vision-based engagement detection in virtual reality. Paper
presented at the Digital Media Industry and Academic Forum.
Santorini, Greece.
Badi, H., (2016). A survey on recent vision-based gesture
recognition. Intelligent Industrial Systems, 2(2), 179- 191.