Abstract: A system and method for AI-assisted conversation utilize a biosensor to receive biosignals, which are analyzed by the perception engine. The engine generates context tags and text descriptions from multimodal sensory inputs and biosignal analysis. This information is then used by the conversation engine, along with memory engine data (conversation history, biographical background, keywords), to generate prompts for a language model. These prompts are displayed to a user through a computing device that presents various conversation features like communication history, context data, and selected content. The system enables interactive AI-assisted conversations between humans and machines or other humans.

Abstract: An apparatus, system, and method of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.

Abstract: There are disclosed herein systems and methods for human agency support and facilitation through an integrated use of context information, historical work product, biosensors, explicit user input and a generative AI or generalist agent. The system comprises input means, tokenization, a generative AI or generalist agent and an output stage capable of enacting agency on a user's behalf using output tokens from the language model.

Abstract: An electrode assembly and a system including it are disclosed. The electrode assembly includes an electrode body with arc rail(s) attached to and extending from the electrode body. The arc rail(s) include at least one sensing element for sensing or stimulating the state of a particular property of a selected subject area when applied by the arc rail to that area. The arc rail is so disposed in relation to the electrode body as to be disposed at a non-perpendicular angle to the subject area when the electrode assembly is applied to the selected subject area. The system includes an analog front end (AFE) configured to receive output signals from at least one electrode assembly and transmit the output signals to a digital module for processing. The system also includes an accessory strap with sockets to receive electrode assemblies and deliver their outputs to the AFE.

Abstract: A method and system are disclosed using steady-state motion visual evoked potential stimuli in an augmented reality environment. Requested stimuli data are received from a user application on a smart device. Sensor data and other context data are also received, where other context data includes data that is un-sensed. The requested stimuli data are transformed into modified stimuli based on the sensor data, and the other context data. Modified stimuli and environmental stimuli are presented to the user with a rendering device configured to mix the modified stimuli and the environmental stimuli, thereby resulting in rendered stimuli. Biosignals generated in response to the rendered stimuli are received from the user to a wearable biosignal sensing device. Received biosignals are classified based on the modified stimuli, resulting in a classified selection, which is returned to the user application.

Abstract: There is disclosed devices, systems and methods for nonverbal multi-input and feedback devices for user intended computer control and communication of text, graphics and audio. The system comprises sensory devices comprising sensors to detect a user inputting gestures on sensor interfaces, a cloud system comprising a processor, for retrieving the inputted gestures detected by the sensor on the sensory device, comparing the inputted gestures to gestures stored in databases on the cloud system, identifying at least a text, graphics and/or speech command comprising a word that corresponds to the inputted gesture; showing the command to the user; and transmitting the command to another device.

Abstract: An apparatus, system, and method of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.

Abstract: A method and system are disclosed using steady-state motion visual evoked potential stimuli in an augmented reality environment. Requested stimuli data are received from a user application on a smart device. Sensor data and other context data are also received, where other context data includes data that is un-sensed. The requested stimuli data are transformed into modified stimuli based on the sensor data, and the other context data. Modified stimuli and environmental stimuli are presented to the user with a rendering device configured to mix the modified stimuli and the environmental stimuli, thereby resulting in rendered stimuli. Biosignals generated in response to the rendered stimuli are received from the user to a wearable biosignal sensing device. Received biosignals are classified based on the modified stimuli, resulting in a classified selection, which is returned to the user application.

Abstract: There is disclosed devices, systems and methods for nonverbal multi-input and feedback devices for user intended computer control and communication of text, graphics and audio. The system comprises sensory devices comprising sensors to detect a user inputting gestures on sensor interfaces, a cloud system comprising a processor, for retrieving the inputted gestures detected by the sensor on the sensory device, comparing the inputted gestures to gestures stored in databases on the cloud system, identifying at least a text, graphics and/or speech command comprising a word that corresponds to the inputted gesture; showing the command to the user; and transmitting the command to another device.

Abstract: There is disclosed devices, systems and methods for nonverbal multi-input and feedback devices for user intended computer control and communication of text, graphics and audio. The system comprises sensory devices comprising sensors to detect a user inputting gestures on sensor interfaces, a cloud system comprising a processor, for retrieving the inputted gestures detected by the sensor on the sensory device, comparing the inputted gestures to gestures stored in databases on the cloud system, identifying at least a text, graphics and/or speech command comprising a word that corresponds to the inputted gesture; showing the command to the user; and transmitting the command to another device.

Abstract: A method and system of a user interface device with dual-sided display which may include a system using a brain computer interface with an Augmented Reality (AR) headset. The user's intent is sent to the system, which processes, analyzes and maps the user's intent. An output corresponding to the user's intent is projected using the user interface device. This output is displayed on the user's side of the display. An image corresponding to the output is displayed on the observer's side of the display.

Abstract: There is disclosed devices, systems and methods for nonverbal multi-input and feedback devices for user intended computer control and communication of text, graphics and audio. The system comprises sensory devices comprising sensors to detect a user inputting gestures on sensor interfaces, a cloud system comprising a processor, for retrieving the inputted gestures detected by the sensor on the sensory device, comparing the inputted gestures to gestures stored in databases on the cloud system, identifying at least a text, graphics and/or speech command comprising a word that corresponds to the inputted gesture; showing the command to the user; and transmitting the command to another device.

Abstract: A method and system are disclosed using steady-state motion visual evoked potential stimuli in an augmented reality environment. Requested stimuli data are received from a user application on a smart device. Sensor data and other context data are also received, where other context data includes data that is un-sensed. The requested stimuli data are transformed into modified stimuli based on the sensor data, and the other context data. Modified stimuli and environmental stimuli are presented to the user with a rendering device configured to mix the modified stimuli and the environmental stimuli, thereby resulting in rendered stimuli. Biosignals generated in response to the rendered stimuli are received from the user to a wearable biosignal sensing device. Received biosignals are classified based on the modified stimuli, resulting in a classified selection, which is returned to the user application.

Abstract: An apparatus, system, and method of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.

Abstract: An apparatus, system, and method of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.

Abstract: There is disclosed devices, systems and methods for nonverbal multi-input and feedback devices for user intended computer control and communication of text, graphics and audio. The system comprises sensory devices comprising sensors to detect a user inputting gestures on sensor interfaces, a cloud system comprising a processor, for retrieving the inputted gestures detected by the sensor on the sensory device, comparing the inputted gestures to gestures stored in databases on the cloud system, identifying at least a text, graphics and/or speech command comprising a word that corresponds to the inputted gesture; showing the command to the user; and transmitting the command to another device.

Abstract: An apparatus, system, and method of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.

Abstract: A method and system of a brain computer interface in a headset including an augmented reality display, one or more sensors, a processing module, at least one biofeedback device, and a battery. The interface may include a printed circuit board that has the sensors to read bio-signals, provides biofeedback, and performs the processing, analyzing, and mapping of bio-signals into output. The output provides feedback via stimulation of multiple sensory brain systems of a user, including audio and visual on the augmented reality display, or audio and haptic in terms of vibration patterns that a human user may feel. All together this forms a closed-loop system, by detecting the bio-signal, then providing sensory-feedback, which in turn enhances the bio-signal.