HapticCode vs Chew Sense

HapticCode is the ultimate tool for iOS developers and designers to create, test, and export rich haptic feedback patterns with precision and ease. Whether you're crafting subtle tap feedback or immersive tactile experiences, HapticCode provides a visual, intuitive interface to build Core Haptics patterns — no code required. Key Features: Live Timeline Editor: Visually build and edit haptic events over time, complete with intensity, sharpness, and duration controls. Real-Time Playback: Instantly preview your patterns on-device using Apple’s Core Haptics engine. Waveform Visualizer: See a dynamic, animated waveform to better understand the feel of your haptics. ADSR Envelope Controls: Optionally configure attack, decay, sustain, and release for advanced tactile shaping. Pattern Export: Export as Swift code to integrate directly into Xcode. Export as JSON or plain text for sharing or documentation. Built-in Sharing: Share your custom patterns via AirDrop, WhatsApp, or any other app with a single tap. iCloud-Backed Library: Organize and revisit your saved patterns anytime. Beautiful UI: Inspired by Apple’s design language — smooth gradients, glowing waveforms, and intuitive layout. Ideal For: iOS Developers integrating custom haptics. UX Designers prototyping feedback. Musicians & Creators exploring tactile audio. Privacy First: No IDFA tracking. No personal data collection. HapticCode is built for creators, not marketers. Start feeling your ideas. With HapticCode, your app’s experience goes beyond the screen — into your hands.

This app provides a streamlined way to collect synchronized AirPods motion data and video for personal motion-analysis projects. Designed as a personal data-gathering and labeling tool, it automatically connects to supported AirPods motion sensors and ensures that recordings only occur when motion data is available. Record video while the app continuously captures motion samples from your AirPods. Each recording is saved as a folder containing a .mov file and a corresponding .csv file with timestamped motion data. If a session begins with the "Not eating" flag enabled, the dataset can be exported immediately without any labeling steps. For recordings that require annotation, the detail view provides precise playback controls and segment-based labeling. You can place markers, and the app will assign a boolean value to all samples between each pair of markers. Labeled and unlabeled segments are stored directly in your exported dataset for personal use or machine learning projects. The app automatically pauses if your AirPods connection is lost and will not allow recording until motion data is available. This prevents incomplete or misaligned datasets and keeps your personal data collection reliable. Key capabilities: • Automatic AirPods motion connection • Continuous capture of synchronized video + motion data • Optional boolean labeling via segment markers • Exportable .mov + .csv dataset bundles • Automatic pause on motion-data loss • Simple interface for personal data collection PERSONAL USE ONLY: This app is a utility for collecting your own data. All data stays on your device. You control what you export and share. This is not a research platform and does not collect data from participants.