Abstract: A system for examining an animal that includes a kiosk housing having an analysis zone. The system includes a persuasion delivery device in the analysis zone. The system includes a dispensing machine to dispense an animal attractant to the persuasion delivery device. The system includes a set of sensors located in the analysis zone to sense real-time data related to health of an animal. The set of sensors includes at least one sensor to sense within the analysis zone at least one biological parameter of the animal related to the health. A method is provided using the system that autonomously guides the animal to the analysis zone by a predisposition of the animal to hunt for an animal attractant so that biological parameters of the animal related to the health of the animal are sensed in a stress-free or reduced stress environment.

Abstract: A system that includes at least one processor and a non-transitory, tangible memory device having programming instructions. When the instructions are executed by the at least one processor, the at least one processor receives from a set of sensors at least one biological parameter of an animal in a walk-in analysis zone to create real-time biological. The at least one processor analyzes the real-time biological data from the walk-in analysis zone and recommends animal feed nutrients based on the analyzed real-time biological data. The at least one processor communicates the recommended animal feed nutrients to at least one of: a mobile communication device; and a display device in proximity to the walk-in analysis zone.

Abstract: An orientation indicator device that includes a band having an interior side, an exterior side, and a length to wrap around a neck of an animal. The orientation indicator device includes at least one fiducial marker attached to the band that is visible from the exterior side of the band to denote an orientation of the animal. The orientation indicator device includes a tag coupled to the band to hang by gravity from under the neck. The band is in the form of a collar with fasteners to fasten the collar around the neck. A system is also disclosed that includes a walk-in analysis zone. The orientation indicator device and a computer vision system, in the walk-in analysis zone, identify an orientation of an animal in the zone by capturing the orientation indicator device and dimensions of a body of the animal.

Abstract: A system that includes a persuasion delivery device to deliver a persuasion to an animal to persuade the animal into a walk-in analysis zone for conducting an examination session. The system includes a set of sensors to sense in real-time at least one biological parameter to create real-time biological data. Each sensor has a sample collector in the walk-in analysis zone to capture a respective biological parameter. The system includes at least one processor to analyze the real-time biological data and at least one of: recommending animal feed nutrients based on the analyzed real-time biological data; identifying the at least one biological parameter on a user interface; and causing a feed making machine to make animal feed based on the recommended animal feed nutrients.

Abstract: A computer-implemented method of providing virtual reality (VR) or Augmented Reality (AR) training includes adapting the VR/AR training based on feedback on the user's biometric data, which may include electroencephalogram (EEG) data and other biometric data. Associations are determined between the biometric data and psychological/neurological factors related to learning, such as a cognitive load, attention, anxiety, and motivation. In one implementation, predictive analytics are used to adapt the VR/AR training to maintain the user with an optimal learning zone during the training.

Abstract: A computer-implemented method of providing virtual reality (VR) or Augmented Reality (AR) training includes adapting the VR/AR training based on feedback on the user's biometric data, which may include electroencephalogram (EEG) data and other biometric data. Associations are determined between the biometric data and psychological/neurological factors related to learning, such as a cognitive load, attention, anxiety, and motivation. In one implementation, predictive analytics are used to adapt the VR/AR training to maintain the user with an optimal learning zone during the training.