How do insoles do professional gait analysis? A sense of science and technology using AI cloud algorithm to achieve

A thousand miles begins with a single step. Professional gait analysis actually has a bigger market than you think. In China alone, there are 22 million people in the out-of-hospital rehabilitation group such as Foot and Internal Medicine, and the average annual expenditure exceeds 10,000 yuan; while the number of elderly people with foot risk reaches 200 million, and one-quarter of the children have the risk of foot disease. .

The application of gait analysis is equally rich, such as:

Verification of the use of devices in rehabilitation centers to test the actual effects of rehabilitation training;

Within the medical institution, daily analysis and diagnosis of foot and ankle diseases can be carried out;

Fitness organizations can use data for quantitative training and coaching, and even assess injury risk for professional sports.

For the elderly and children, the daily gait can also be monitored and early warning.

However, the current gait analysis equipment is often worth millions, and the buyers are mainly professional medical institutions. Users often only perform one-time testing of gait on specific occasions, and require special operations, which are relatively limited.

What Chuangsen Technology is doing is based on the Insole X smart insole to achieve professional gait analysis.

As the world's first high-resolution foot pressure intelligent insole, Insole X 1.0 is a portable gait analyzer based on intelligent algorithms and sensor technology, which can dynamically collect the foot basic data of the wearer and show foot movement posture in real time. . Insole X can collect basic data through sensors and transfer it to an open cloud algorithm platform for data extraction and processing. It combines human intelligence and human timing signal analysis technology for massive medical data mining to obtain a complete gait analysis result.

Speaking of the difficulties of Insole X's project, CTO Li Zhinan, who is responsible for algorithm implementation and data mining, said that it mainly consists of three aspects.

The first is the interference of motion noise. It is necessary to use an algorithm to distinguish the foot noise during the movement. The second is to extract effective foot data, which is the processing of effective information. The last point is based on the data processing in the cloud. The hardest part is that as long as the data measurement is slightly inaccurate, it will lead to the error of the cumulative factor (the accumulation of three dimensions). CEO Li Qin told Lei Feng that the accuracy of ChuangSheng's internal measurement can reach more than 95%, that is, within 1 meter, the error can be reduced to 5cm.

At present, Insole X's plan is for left-handed civilians and right-handed professionals.

On the one hand, it develops some of InsoleX's technologies into Smart. This traditional sensor-based device can have a more flexible algorithm configuration, and can also expand more application space, such as implanted sports shoes or medical devices. Li Qin said to Lei Fengwang (searching "Lei Feng Net" public number) that they have reached cooperation with some shoe factories to meet the intelligent demand of traditional enterprises.

On the other hand, it is to take the road that special populations can wear, such as early prediction of Parkinson's disease, or rehabilitation training and assessment.

In terms of business model, Chuangsen Technology is taking the “B2B/B2C+ data service” approach. Li Qin said that three C-end products will be available next year, and it is planned to become a foot data analysis expert in 2017 and stand firm. Department of smart market.

Chuang Sen Technology was established in May 2015. It consists of a group of “classmates from 80 students or classmates.” The main members graduated from Zhejiang University, Peking University, and other famous universities. The team currently has 15 people and has 8 years of wearable cutting-edge technology research. He has published more than 80 papers in the field of SCI/EI mobile medicine and wearables, and also has a number of international patents and ten domestic patents. He is the sole scientific and technological enterprise governing unit of the China Mobile Research Institute of Research Hospitals. At present, the company is in an angel round and is seeking pre-A financing.

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