[SennoGait] It is a portable dynamic gait and posture analysis system based on AI. Through upgraded sensors, machine vision, and image processing technologies, the system analyzes human body data, quantitatively evaluates gait, posture, and injury risks, and provides quantitative basis for risk reduction, training plans, and physical fitness improvement.
[SennoGait] Miniaturize large-scale gait/posture testing equipment in traditional hospitals. Based on artificial intelligence (deep learning network) technology, the detection environment is reconstructed through miniature foot sensors and mobile phone RGB cameras, putting aside the limitations of the venue, and it is convenient to use anytime, anywhere. Different from traditional inspection technology,
[SennoGait] makes use of the accumulation of tens of millions of data to conduct in-depth mining of data and realize the “analysis” technology of human body data, which can quickly quantify risks and provide a basis for coaches to carry out targeted training improvement and training aids.
In August 2016, at the Bayi Rehabilitation Center in Sichuan Province, through comparison with the large-scale gait analysis system Caren, the mean difference of the core gait parameters between the SennoGait and Caren was less than 1%.
The system analyzes human body data through upgraded sensors, machine vision, and image processing technologies, quantitatively evaluates gait, posture, and injury risks, and provides quantitative basis for risk reduction, training plans, and physical fitness improvement. It is a new type of “body tester” for gyms and fitness studios in the future.
Compared with traditional gait analysis, SennoGait uses Bluetooth wireless transmission technology and new sensors to make the device more lightweight and portable. Not only does it break through the site constraints and operation method, but it also uses a powerful cloud database and algorithm support to bring you a smoother user experience, smarter analysis process, and more accurate data.
It can be challenging to measure plantar pressure and analyze gait accurately, consistently, and in the environments where activity normally takes place: outside of the lab. In the past, capturing natural gait has been limited because current products are not suited for real-world testing.
Evaluate gait, plantar pressure, and foot function with insole sensors that are reliable and durable enough to accurately capture data wherever activity takes place — and without compromising natural motion.
Avoid set-up and recalibration issues that can be costly and impact the accuracy of your data.
Gain precise insights into athletic activity with insoles that are built for collecting lab-quality data in the field.
Use wireless, undetectable sensors to collect plantar pressure data to inform intervention strategies and reduce the risk of athletic injuries.
The sensors are durable and reliable, making them ideal for continuous use in research or sports performance testing.
The easy-to-use sensors are ready out of the box and support trouble-free testing.
Lab time is valuable and with the Intelligent Insoles | Pro users can keep set-up time to minutes.
DDS Pro Foot & Gait software provides high-resolution images for fast, confident decision making.
With the easy-to-use file manager, users can display and compare multiple recordings side-by-side, complete with summary statistics and measurements, and generate reports.
Collect lab-quality data in the field. Our insole sensor system provides accurate high-speed, high-resolution plantar pressure and gait measurement data.
For human or sports performance testing, proven calibration stability enables the collection of thousands of cycles of data with only minutes of set-up.
Accurate, repeatable sensors with ±5% full-scale error and fast sensor response—plus high-resolution data from (up to) 235 sensels/foot provide rich datasets for analysis.
High-speed collection up to 150 Hz with long battery life and on-board memory support autonomous data collection. Integrated IMU capability provides additional contextual data for analysis.
Durable construction and factory calibration means the sensors are reliable for continuous use in research and sports performance testing.
Advanced AI-powered gait analysis tools provide insights for human performance or biomechanics research.