Abstract: A monitoring system for a vehicle includes at least one imaging device configured to capture a first image type and a second image type in a sequence. A first illumination source is configured to emit a flood illumination captured by the at least one imaging device in the first image type. A second illumination source is configured to emit an illumination pattern captured by the at least one imaging device in the second image type. At least one processor is configured to extract a 2-dimensional (“2D”) skeletal representation of a vehicle occupant from the first image type, measure a depth of the 2D skeletal representation with the second image type, and extrapolate a 3-dimensional (“3D”) skeletal representation of the vehicle occupant.

Abstract: A monitoring system for a vehicle includes at least one imaging device configured to capture a first image type and a second image type in a sequence. A first illumination source is configured to emit a flood illumination captured by the at least one imaging device in the first image type. A second illumination source is configured to emit an illumination pattern captured by the at least one imaging device in the second image type. At least one processor is configured to extract a 2-dimensional (“2D”) skeletal representation of a vehicle occupant from the first image type, measure a depth of the 2D skeletal representation with the second image type, and extrapolate a 3-dimensional (“3D”) skeletal representation of the vehicle occupant.

Abstract: A monitoring system for a vehicle includes at least one imaging device configured to capture a first image type and a second image type in a sequence. A first illumination source is configured to emit a flood illumination captured by the at least one imaging device in the first image type. A second illumination source is configured to emit a structured light illumination captured by the at least one imaging device in the second image type. At least one processor is configured to extract a 2-dimensional (“2D”) joint coordinate representation of a vehicle occupant from the first image type, measure a depth of at least a portion of the 2D joint coordinate representation with the second image type, extrapolate a 3-dimensional (“3D”) joint coordinate representation of the vehicle occupant, and estimate, based on the 3D joint coordinate representation, a location of at least one joint that is obscured.

Abstract: A monitoring system for a vehicle includes at least one imaging device configured to capture a first image type and a second image type in a sequence. A first illumination source is configured to emit a flood illumination captured by the at least one imaging device in the first image type. A second illumination source is configured to emit an illumination pattern captured by the at least one imaging device in the second image type. At least one processor is configured to extract a 2-dimensional (“2D”) skeletal representation of a vehicle occupant from the first image type, measure a depth of the 2D skeletal representation with the second image type, and extrapolate a 3-dimensional (“3D”) skeletal representation of the vehicle occupant.

Abstract: A monitoring system for measuring and monitoring a respiratory rate of a subject includes an optical projector configured to project an optical pattern and an image capturing module configured to capture images of the optical pattern reflecting from a surface. The monitoring system further comprises an alarm device, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to monitor the respiration rate of the subject based on changes to the optical pattern reflected from the surface. The processor is further caused to determine if the monitored respiration rate is within a threshold variance and, upon a determination that the monitored respiration rate is outside of the threshold variance, generate a notification with the alarm device.