Aspects provide a system including a wearable audio device. The system is configured to determine one or more states of a subject using electrodes positioned on the wearable audio device and in contact with the subject's body. Three electrodes on the wearable audio device are configured to collect any combination of EMG, EOG, ECG/EKG. The system is configured to determine if the subject is fatigued, attentive, anxious, or stressed. The system determines the subject's state without use of a camera. In addition to determining one or more states of the subject, the subject can control the audio device based on a pattern of pupil movements. According to aspects, eye location determined using collected signals are used to adjust and enhance an output of an augmented reality application.

Aspects provide a system including a wearable audio device. The system is configured to determine one or more states of a subject using electrodes positioned on the wearable audio device and in contact with the subject's body. Three electrodes on the wearable audio device are configured to collect any combination of EMG, EOG, ECG/EKG. The system is configured to determine if the subject is fatigued, attentive, anxious, or stressed. The system determines the subject's state without use of a camera. In addition to determining one or more states of the subject, the subject can control the audio device based on a pattern of pupil movements. According to aspects, eye location determined using collected signals are used to adjust and enhance an output of an augmented reality application.

An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

Embodiments of a system and/or method can include: a set of weight sensor subsystems associated with the set of users, wherein a weight sensor subsystem of the set of weight sensor subsystems comprises a weight sensor operable to collect a weight dataset for a user, wherein the weight dataset is associated with a physical activity characteristic of the user, and a wireless communication module operable to transmit the weight dataset; and a medical improvement subsystem wirelessly connectable to the set of weight sensor subsystems, wherein the medical improvement subsystem is operable to: assign the user to a user subgroup based on the physical activity characteristic of the user; determine a physical activity metric based on the weight dataset; and promote a therapeutic intervention to the user based on the physical activity metric, where the therapeutic intervention is operable to improve the status of the first user.

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

Methods and systems to interface between physiological devices and a prosthetic device, including to receive a plurality of types of physiological activity signals from a user, decode a user movement intent from each of the plurality of signals types, and fuse the movement intents into a joint decision to control moveable elements of the prosthetic device.

Methods and systems to interface between physiological devices and a prosthetic device, including to receive a plurality of types of physiological activity signals from a user, decode a user movement intent from each of the plurality of signals types, and fuse the movement intents into a joint decision to control moveable elements of the prosthetic device.

There is disclosed a method and system for generating retinal signal data. Calibration data corresponding to an individual may be received. A threshold impedance may be determined based on the calibration data. Retinal signal data corresponding to the individual may be received. The impedance of the circuit collecting the retinal signal data may be compared to the threshold impedance to determine whether the retinal signal data contains any artifacts. A portion of the retinal signal data corresponding to the artifacts may be removed from the retinal signal data.

There is disclosed a method and system for generating retinal signal data. Calibration data corresponding to an individual may be received. A threshold impedance may be determined based on the calibration data. Retinal signal data corresponding to the individual may be received. The impedance of the circuit collecting the retinal signal data may be compared to the threshold impedance to determine whether the retinal signal data contains any artifacts. A portion of the retinal signal data corresponding to the artifacts may be removed from the retinal signal data.