Patent attributes
Aspects relate to an apparatus and methods for monitoring human trustworthiness. The apparatus includes at least an interface configured to facilitate telecommunication for a participant, a plurality of sensors configured to detect a plurality of signals from the participant, at least a computing device comprising at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a plurality of signals from the plurality of sensors, generate a participant trustworthiness classifier as a function of a participant trustworthiness machine-learning algorithm, train the participant trustworthiness classifier using at least a training sample, wherein the at least a training sample correlates the plurality of signals to responses of known trustworthiness, and determine a participant trustworthiness as a function of the participant trustworthiness classifier.
