Imagine shoes that could tell you everything about how you walk—your stride length, your speed, even subtle variations that might indicate a health issue. Researchers have developed a new gait monitoring system using computer vision that can track an impressive 17 gait parameters, offering a potential revolution in how we diagnose and treat gait-related disorders. The system, mounted on a regular shoe, uses a stereo camera and force sensors to capture detailed information about each step. A custom-designed marker on the opposite shoe allows the camera to precisely track foot position, enabling the system to calculate spatial gait characteristics like length, width, and height. The force sensor triggers the camera at each heel strike, providing precise timing data for temporal gait parameters like step time, stride time, and swing time. What's remarkable about this technology is its accuracy and stability. Tests show the system boasts over 93% accuracy across all measured parameters, with minimal drift even during long walks. This opens up possibilities for continuous, real-world gait monitoring, far beyond the capabilities of traditional gait mats limited to short, controlled environments. But the real potential lies in its connection to artificial intelligence. Researchers demonstrated the power of this enriched gait data by training a Transformer model to identify individual walkers with impressive accuracy. This points toward a future where AI-powered gait analysis could help diagnose subtle gait abnormalities, potentially detecting early signs of conditions like Parkinson's disease or predicting fall risks. While still in its early stages, this innovative gait monitoring system promises to transform healthcare. Further research aims to refine the hardware, expand data collection in real-world settings, and develop more sophisticated AI models to unlock the full potential of this technology.