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Hand Control: Hand Sign Master

Hand Control: Hand Sign Master

Yen Ninh

Entertainment免费v1.0.7
App Store
评分

2.3

22 条评分

星级

★★☆☆☆

最近更新

2026年4月26日

发布日期

2026年3月11日

更新内容

v1.0.7

We’ve been hard at work making Hand Control better than ever: - Sword Control template is now smoother and more responsive - Gojo Satoru template has been refined for a more immersive experience - Improved performance for faster, more fluid interactions - Squashed bugs and reduced crashes for better stability Update now and feel the difference in every move!

应用信息

开发者
Yen Ninh
分类
Entertainment
价格
免费
版本
1.0.7
App ID
6759790925

简介

Create stunning visual effects using only your hands. Gesture Studio transforms real-time hand tracking into interactive 3D particle experiences. Move, shape, and trigger dynamic visual effects directly from your camera with smooth gesture recognition designed for iOS. Using advanced finger tracking technology, your movements instantly become glowing particles, morphing shapes, and immersive visual reactions. Every gesture feels responsive, fluid, and natural. FEATURES • Real-Time Gesture Tracking Track your fingers and hands with smooth, responsive detection. • Interactive 3D Particles Move and shape particles in real time with intuitive gestures. • Particle Morphing Transform visual effects into dynamic shapes with simple hand movements. • Hand Sign Recognition Perform gesture signs to trigger unique visual reactions. • Creative Card Mode Design animated greeting cards with interactive particle effects. WHY YOU’LL LOVE IT • Designed for smooth iOS interaction • Clean, immersive visual experience • Simple to use – just open the camera and start creating • Perfect for creative expression and fun experiments Explore a new way to interact with digital visuals through motion and gesture. Privacy Policy: https://codecorner.live/policy If you want to know more about Apple Policy, please check the link below: Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

2K1K3K
保守估计乐观估计

550

低 / 月

815

预估 / 月

2K

高 / 月

基于22 条评分
假设评分率1.4%
应用年龄2 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。