GaitRate vs Gait Analyzer Insight

The GaitRate App is a mobile app replacement for the traditional stopwatch method of gait speed measurement typically used home visit assessments and research studies. The app returns time, a calculated gait speed measurement (based on selected course length), and survival estimates for older patients (65-95), based on published research. The GaitRate App is intended to provide health professionals and researchers with a tool to easily measure short-distance gait speed in their practice and compare the results against the published norms. The GaitRate App provides three app modes for gait speed measurement and estimations related to published norms for individuals 65 to 95 years of age.\n\n 1. Measure Mode: Measures gait speed in meters per second for different short course lengths (3-5 meters or 9-15 feet). 2. Measure + Estimate Mode: Measures gait speed and provides median (average) years-of-life remaining estimates. For this mode, estimates require age (65-95), gender, and usual gait speed over a four-meter course.\n\n 3. Estimator Mode: If you have a short-distance gait speed measurement, this mode allows entry of that gait speed, along with age (65-95), and gender to get median (average) years-of-life remaining estimates. Measurements are started and stopped using either volume button to allow eyes-free operation or by pressing the screen in the designated area. The resulting time and gait speed, based on your selected course length are returned in meters per second.

Gait Analyzer Insight (G-AI) is an AI-powered gait analysis app that analyzes walking patterns in real time using image recognition technology. It is based on gait analysis technology developed through collaborative research with Nagoya City University and other research institutions. The app performs gait analysis entirely on your device, and no video data are ever saved. All processing is completed locally, ensuring a high level of privacy and security. Key Features Real-time analysis: Results appear instantly while recording. Privacy-first design: Video data are not saved; all analysis is processed safely on the device. Research-based technology: Developed in collaboration with Nagoya City University, supported by peer-reviewed publications (Sensors, 2022, 2023) and conference presentations (International Hydrocephalus Society 2024, 2025; Japanese Society of NPH 2021, 2022, 2023, 2024, 2025; Japanese Society for Medical and Biological Engineering 2023; Japan Fall Prevention Society 2022, 2023, 2025). This app is built upon AI gait analysis technology developed through collaborative research with Nagoya City University and the proven algorithm from the Three-Dimensional Pose Tracker (TDPT) series. It quantifies gait features such as shuffling, short-stepped, and wide-based gaits by estimating joint angles and movement trajectories from two-dimensional projections of three-dimensional coordinates. Disclaimer This application is not a medical device and is not intended for diagnosis, treatment, or prevention of disease. Please use it only for research, educational, or wellness purposes.