The recent advancement in technology breaks the barriers to communication between users and computers. The communication between humans and computers includes emotion and gesture recognition. Emotions can be recognized on the face of humans whereas gesture recognition includes hand and body gesture recognition. Fingertip detection is also part of it. Gesture recognition is the way of interaction that is used in air writing. Users can control the devices with simple gestures without touching them. It is how computers can understand human language which will reduce the interaction barriers between them. This paper discusses the different techniques that can be used for fingertip detection in air writing using machine learning

翻译：近年来技术的突破打破了用户与计算机之间的沟通壁垒。人机交互包括情感识别与手势识别：前者可通过面部表情识别实现，后者则涵盖手部及身体动作识别，其中指尖检测是重要组成部分。手势识别作为空中书写的交互方式，允许用户通过简单手势无需触碰即可控制设备。这种使计算机理解人类语言的技术有效降低了人机交互障碍。本文系统探讨了基于机器学习实现空中书写指尖检测的不同技术方案。