Altius is developing the first of it's kind automated injury screening system. This hardware and software solution allows occupational groups to quickly assess the injury risk of a large group of workers by providing them with analytics on individual and group movement habits, injury risk factors, and customizes exercised based prevention strategies specific to each user.

Briefly, the way we move affects the way we feel. The vast majority of non-contact joint injuries are caused by an accumulation of stresses from repetitive and/or awkward postures/movements. Thus, a large percentage of workplace injuries can be prevented by understanding and correcting the way a worker moves. Existing 'movement screens' perform this process manually with a human observer assessing a person's habits during a series of movements to determine their injury risk factors and assign corrective exercises. Our system automates this process faster, cheaper, and in greater detail than existing movement scree...
Altius is developing the first of it's kind automated injury screening system. This hardware and software solution allows occupational groups to quickly assess the injury risk of a large group of workers by providing them with analytics on individual and group movement habits, injury risk factors, and customizes exercised based prevention strategies specific to each user.

Briefly, the way we move affects the way we feel. The vast majority of non-contact joint injuries are caused by an accumulation of stresses from repetitive and/or awkward postures/movements. Thus, a large percentage of workplace injuries can be prevented by understanding and correcting the way a worker moves. Existing 'movement screens' perform this process manually with a human observer assessing a person's habits during a series of movements to determine their injury risk factors and assign corrective exercises. Our system automates this process faster, cheaper, and in greater detail than existing movement screens.

The hardware component consists of a specialized camera unit (currently developing with the Microsoft Kinect V2) and CPU/monitor. The camera uses proprietary tracking algorithms to record human motion (3D kinematic data including joint angles, displacements, velocities, and accelerations of 16 individual joints) in up to 6 users at once, without any wearables or tracking markers. The camera feeds into the CPU, with the output displayed on the monitor along with on screen instructions. These instructions guide the user through a movement screen.

The software analyzes the movement data to report the results of the movement screen in real time. Using proprietary analysis algorithms, each user's movement patterns are compared against biomechanical principles of injury mechanisms for each joint. This provides an understanding of their susceptibility for specific injuries based on their movement profile, and developers a personalized prevention program based on exercises meant to correct the observed movement flaws. Back end database functions allow for monitoring of long term employee health status by providing analytics on histories and progress of movement habits and injury risk factors for each individual as well as group trends.
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