Amazing innovations have been heralded in the field of ICT. Before now, we have seen facial recognition system, voice recognition, tracking eye movement, and even lips tracking recognition. But another evolution has arisen in this field, and this is the technology of Gesture Recognition.
Gesture recognition is the interpretation of the motion of a human user by a computing or electronic device. This interpretation is mainly done through a pre-programmed mathematical algorithm.
The gestures can be generated from any part of the body (hand, face, leg), and these gestures can be used to interact with, or control electronic devices without the need to touch them physically.
In a layman's term, gesture recognition can be seen as:
A way through which computers and other electronic devices understand the body languages of humans.
Scientists have been trying to bridge the gap between humans and devices; here's one of the ways to achieve this.
Gesture Recognition enables effective Human-Machine Interaction (HMI), which is the major tool for the actualization of Enhanced Perceptual User Interface (ePUI).
For a computer system to effectively fit into the definition of gesture recognition, it should have these three features:
The major technology relating to gesture recognition is the Touchless Technology (Touchless User Interface; TUI). This is just like a system that gives command to the computer through gestures.
TUI technologies include:
There are different ways to analyze and track gestures though various algorithms. This is summarized in the image below:
There are many current and potential applications of gesture recognition, these include:
The applications are so numerous to be fully listed here.
Technology can only get better.
TECH RULES!!
References for further reading: Ref1, Ref2, Ref3, Ref4
