During the pandemic, it is necessary to reduce contact and wear masks, but identification is still required. The original technology includes the development of inertial measurement units beneath the walking surface, real-time detection of gait, and accurate predictions of gait parameters with machine learning models. Most importantly, our technology can use a small number of samples (only one footstep data) for identifications. Non-contact, non-monitoring, and rapid identification are going to be the future applications in smart buildings/homes.

1. The first to conduct inertial measurement units for gait detection on walking surfaces.
2. Only one footstep is required, and a sample size of less than one second is needed for identification.
3. Received the patent: Gait recognition system and gait recognition method

Our technology can quickly deploy a load-bearing surface containing sensors like a puzzle floor mat. It can increase or decrease the number of mats according to different fields, environments, and situation requirements. If it is for access control, only one piece is required to achieve identity recognition. A large amount of deployment in the space can track the behavior trajectory. Not only to smart buildings, but our technology can also employ long-term monitoring of changes in walking status for precision medicine. It can build the users＇ digital twin database and send the timely warning.

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