Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research

作者：Siena Francesco Luke; Byrom Bill; Watts Paul; Breedon Philip^*

来源：Journal of Medical Systems, 2018, 42(3): 53.

DOI：10.1007/s10916-018-0905-x

• 3D Depth Camera
• Intel (R) RealSense (TM)
• Motion Capture
• Clinical Trials
• Health Outcomes

Applications utilising 3D Camera technologies for the measurement of health outcomes in the health and wellness sector continues to expand. The Intel (R) RealSense (TM) is one of the leading 3D depth sensing cameras currently available on the market and aligns itself for use in many applications, including robotics, automation, and medical systems. One of the most prominent areas is the production of interactive solutions for rehabilitation which includes gait analysis and facial tracking. Advancements in depth camera technology has resulted in a noticeable increase in the integration of these technologies into portable platforms, suggesting significant future potential for pervasive in-clinic and field based health assessment solutions. This paper reviews the Intel RealSense technology's technical capabilities and discusses its application to clinical research and includes examples where the Intel RealSense camera range has been used for the measurement of health outcomes. This review supports the use of the technology to develop robust, objective movement and mobility-based endpoints to enable accurate tracking of the effects of treatment interventions in clinical trials.

• 出版日期2018-3