Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter.

Abstract: A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

Abstract: A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

Abstract: An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device comprises a plurality of EEG sensors configured to sense EEG signals from or proximate a wearer's ear. At least one processor is configured to detect, during a baseline period of no wearer movement, EEG signals from the EEG sensors, and detect, during each of a plurality of candidate control movements by the wearer, EEG signals from the EEG sensors. The at least one processor is also configured to compute, using the EEG signals, discriminability metrics for the candidate control movements and the baseline period, the discriminability metrics indicating how discriminable neural signals associated with the candidate control movements and the baseline period are from one another. The at least one processor is further configured to select a subset of the candidate control movements using the discriminability metrics, each of the selected control movements defining a neural command for controlling the ear-worn electronic device by the wearer.

Abstract: An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter.