Abstract: Real-time modification of video images of humans allows for the video to be modified so that an expression of a subject human may be changed. Customer service agents may have more successful interactions with customers if they display an appropriate facial expression, such as to provide a particular emotional state. By determining an appropriate facial expression, and any deviation from a customer service agent's current expression, a modification to the video image of the customer service agent may be determined and applied. As a result, agents may not have a facial expression that is best suited to successfully resolve a purpose of the interaction, to have the customer be presented with the best-suited facial expression.

Abstract: Interactions between agents of a contact center and customers provide the bulk of many communications and generally work well, except when the customer is deaf or mute. Customers that sign would often prefer to conduct interactions in sign language but the pool of agents having such skills is limited. By providing systems and methods to alter an image of a non-signing agent, a customer may be presented with an image of a signing agent. Additionally, systems and methods herein enable a non-signing agent to be presented with generated speech and/or text translated from the signing gestures provided by the image of the signing customer.

Abstract: Interactions between agents of a contact center and customers provide the bulk of many communications and generally work well, except when the customer is deaf or mute. Customers that sign would often prefer to conduct interactions in sign language but the pool of agents having such skills is limited. By providing systems and methods to alter an image of a non-signing agent, a customer may be presented with an image of a signing agent. Additionally, systems and methods herein enable a non-signing agent to be presented with generated speech and/or text translated from the signing gestures provided by the image of the signing customer.

Abstract: Real-time modification of video images of humans allows for the video to be modified so that an expression of a subject human may be changed. Customer service agents may have more successful interactions with customers if they display an appropriate facial expression, such as to provide a particular emotional state. By determining an appropriate facial expression, and any deviation from a customer service agent's current expression, a modification to the video image of the customer service agent may be determined and applied. As a result, agents may not have a facial expression that is best suited to successfully resolve a purpose of the interaction, to have the customer be presented with the best-suited facial expression.

Abstract: Interactions between agents of a contact center and customers provide the bulk of many communications and generally work well, except when the customer is deaf or mute. Customers that sign would often prefer to conduct interactions in sign language but the pool of agents having such skills is limited. By providing systems and methods to alter an image of a non-signing agent, a customer may be presented with an image of a signing agent. Additionally, systems and methods herein enable a non-signing agent to be presented with generated speech and/or text translated from the signing gestures provided by the image of the signing customer.