Abstract: Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

Abstract: Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

Abstract: Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

Abstract: Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.