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Strong Vibration Body Massager

Strong Vibration Body Massager

Yagiz Akdeniz

Health & Fitness免费v1.0.3
App Store
评分

5.0

1 条评分

星级

★★★★★

最近更新

2026年2月2日

发布日期

2023年11月22日

更新内容

v1.0.3

some bug fixes and performance improvements

应用信息

开发者
Yagiz Akdeniz
分类
Health & Fitness
价格
免费
版本
1.0.3
App ID
6471592984

简介

Unlock the full potential of your device's vibration motor with Strong Vibration Body Massager. This application is a specialized tool designed for generating precise haptic feedback patterns for muscle relaxation and body relief. It allows users to manually control the vibration hardware to create custom feedback loops for deep relaxation. CORE FEATURES: Advanced Pattern Generator Create your own unique relaxation sequences. Use the manual recording interface to tap out custom rhythms, adjust intervals, and save them for playback. Ideal for designing personalized relief sessions. Haptic Library Access a pre-set collection of strong feedback patterns optimized for body comfort: • Deep Pulse Mode: Intermittent, rhythmic feedback for deep tissue feeling. • Continuous Loop: Steady-state strong vibration for maximum relief. • Oscillation: Variable rhythm patterns to soothe daily stress. Device Utility • Vibration Strength Control: Maximize the motor output for different intensity needs. • Silent Mode: Use the application as a silent tactile tool without audio interference. • Screen Lock: Lock the interface during active massage sessions to prevent accidental inputs. Who is this for? • Users seeking a portable muscle relief tool. • Anyone needing a silent, tactile signal generator. • People looking for daily stress relief through haptic therapy. Note: The strength and intensity of the vibration are limited by the physical capabilities of the built-in vibration hardware on your specific device model. Terms of Use: https://www.termsfeed.com/live/76f22b87-94f5-407b-9586-4e80e9e3cd19 Privacy Policy: https://www.termsfeed.com/live/5e22900e-47ad-4c40-9f0c-069524457ef2

下载量预测

专业 · 预览

预估总下载量

9167143
保守估计乐观估计

2

低 / 月

3

预估 / 月

5

高 / 月

基于1 条评分
假设评分率1.1%
应用年龄30 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。