Abstract: Cloud-enabled and artificial intelligence (AI) based biosignal systems and methods are described for the coaching of users to enhance biosignal enabled devices based on device usage. The systems and methods are comprised of, and/or utilize, a cloud based server to aggregate biosignal data from biosignal enabled devices, train an enhanced AI based coaching model using the biosignal data, and to provide the enhanced AI based coaching model to the biosignal enabled devices. The biosignal enabled devices replace a first AI coaching model with the enhanced AI based coaching model, and input user-specific biosignal data to the enhanced AI based coaching model to output a device usage classification. Based on the device usage classification, the systems and methods initiate a coaching procedure that coaches the user how to use or configure the biosignal enabled device to implement an updated configuration for the biosignal enabled device that is optimized for the user.

Abstract: An annuler wearable electronic device includes a plurality of interconnected sensor pods. Each sensor pod includes one or more biosensors configured to collect biometric signal data of a user and each sensor pod is coupled to at least one adjacent sensor pod via a rigid, non-elastic coupling arm such that a circumference of the wearable electronic device is variable.

Abstract: Adaptive biosignal systems and methods are disclosed for switching one or more designations of biosignal sensors for dynamic adaptation and optimization of one or more biosignal detection devices. A sensor designation cycle is executed for a plurality of biosignal sensors of a biosignal detection device, each of the plurality of biosignal sensors configured to collect biosignal data of a user, and each of the plurality of biosignal sensors having a designation defining an electrical sensor modality modifiable by a switch communicatively coupled to the biosignal detection device. The plurality of biosignal sensors comprises at least a first biosignal sensor, a second biosignal sensor, and a third biosignal sensor, wherein the first biosignal sensor is designated as a reference sensor, and wherein the second biosignal sensor is designated as a measurement sensor. The sensor designation cycle comprises various algorithms for switching designations of the various sensors.

Abstract: Biometric robustness systems and methods are described for detecting biometric signals of a user and adaptively adjusting signal output to control biometric devices(s). In various aspects, the biometrics robustness systems and methods comprise determining a biometric signal pattern of the user based on analysis of biometric signals of the user. The biometric signals of the user are detected by one or more biometric sensors. The biometrics robustness systems and methods may comprise generating, by a processor communicatively coupled to the one or more biometric sensors, an adjusted control output based on an anomaly as detected within the biometric signal pattern. The biometrics robustness systems and methods may comprise providing, by the processor, an adjusted control output to a biometric device to control operation of the biometric device.

Abstract: Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.

Abstract: Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and manipulating virtual avatar control based on the user intention(s) for providing kinematic awareness in holographic space, two-dimensional (2D) space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output of a virtual avatar (representing one or more aspects of at least one of the user) or an object (as manipulated by the user) is manipulated in the holographic space, the virtual 2D, or the 3D space. The virtual avatar is rendered by a virtual interface configured to provide the kinematic awareness to the user in the holographic space, the 2D virtual space, or the 3D virtual space.

Abstract: Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.