Abstract:
Human-electronics interfaces in which at least two wearable electromyography (“EMG”) devices are operated to control virtually any electronic device are described. A first wearable EMG device is worn on a first part/location of a user's body and a second wearable EMG device is worn on a second part/location of the user's body. Muscle activity is detected by the two wearable EMG devices and corresponding communication signals are transmitted to an electronic device to control functions thereof. The two wearable EMG devices may communicate with one another. This configuration enables a user to perform elaborate gestures having multiple components (e.g., “two-arm” gestures) with each wearable EMG device detecting a different component, as well as separate gestures (e.g., separate “one-arm” gestures) individually detected and processed by each wearable EMG device.
Abstract:
There is disclosed a wearable electronic device for use with controllable connected devices. The wearable electronic device includes a band worn on, for example, the forearm of a user, and the band carries at least one muscle activity sensor, at least one inertial sensor, and a processor communicatively coupled to the sensors. The on-board processor is operable to identify, a plurality of gestures made by a user, based on muscle activity detected by the muscle activity sensor(s) and motion detected by the inertial sensor(s). In response to identifying a gesture, the wearable electronic device wirelessly transmits one or more signal(s) in order to interact with a controllable connected device.
Abstract:
Systems, articles, and methods for wearable human-electronics interfaces are described. A wearable human-electronics interface device includes a band that in use is worn on an appendage (e.g., a wrist, arm, finger, or thumb) of a user. The band carries multiple sensors that are responsive to vibrations. The sensors are physically spaced apart from one another on or within the band. The band also carries an on-board processor. The sensors detect vibrations at the appendage of the user when the user performs different finger tapping gestures (i.e., tapping gestures involving different individual fingers or different combinations of fingers) and provide corresponding vibration signals to the processor. The processor classifies the finger tapping gesture(s) based on the vibration signals and an on-board transmitter sends a corresponding signal to control, operate, or interact with a receiving electronic device. The sensors include inertial sensors, digital MEMS microphones, or a combination thereof.
Abstract:
Systems, articles, and methods for surface electromyography (“EMG”) sensors that combine elements from traditional capacitive and resistive EMG sensors are described. For example, capacitive EMG sensors that are adapted to resistively couple to a user's skin are described. Resistive coupling between a sensor electrode and the user's skin is galvanically isolated from the sensor circuitry by a discrete component capacitor included downstream from the sensor electrode. The combination of a resistively coupled electrode and a discrete component capacitor provides the respective benefits of traditional resistive and capacitive (respectively) EMG sensor designs while mitigating respective drawbacks of each approach. A wearable EMG device that provides a component of a human-electronics interface and incorporates such capacitive EMG sensors is also described.
Abstract:
Human-electronics interfaces in which at least two wearable electromyography (“EMG”) devices are operated to control virtually any electronic device are described. A first wearable EMG device is worn on a first part/location of a user's body and a second wearable EMG device is worn on a second part/location of the user's body. Muscle activity is detected by the two wearable EMG devices and corresponding communication signals are transmitted to an electronic device to control functions thereof. The two wearable EMG devices may communicate with one another. This configuration enables a user to perform elaborate gestures having multiple components (e.g., “two-arm” gestures) with each wearable EMG device detecting a different component, as well as separate gestures (e.g., separate “one-arm” gestures) individually detected and processed by each wearable EMG device.
Abstract:
A differential non-contact sensor system for measuring biopotential signals is described. The sensor is a low-noise, non-contact capacitive sensor system to measure electrical voltage signals generated by the body comprising two capacitive electrodes and outputting a differential signal.
Abstract:
There is disclosed a muscle interface device for use with controllable connected devices. In an embodiment, the muscle interface device comprises a sensor worn on the forearm of a user, and the sensor is adapted to recognize a plurality of gestures made by a user to interact with a controllable connected device. The muscle interface device utilizes a plurality of sensors, including one or more of capacitive EMG sensors and an IMU sensor, to detect gestures made by a user. Other types of sensors including MMG sensors may also be used. The detected user gestures from the sensors are processed into a control signal for allowing the user to interact with content displayed on the controllable connected device.
Abstract:
Systems, devices, and methods for reducing bulk and balancing weight in wearable heads-up displays are described. Bulk can be reduced in a wearable heads-up display by positioning a battery in a first arm of the wearable heads-up display and other electronics in a second arm of the wearable heads-up display, thus reducing the amount of extraneous housing that would otherwise be required to house multiple batteries or electronic components in both arms. Weight of a wearable heads-up display can be balanced by selecting appropriately sized and weight electronics in the first arm, and by adjusting size and therefore weight of the battery in the second arm. Densely filling the first arm with electronics can result in the first arm and the second arm having similar weight.
Abstract:
Systems, articles, and methods for wearable human-electronics interfaces are described. A wearable human-electronics interface device includes a band that in use is worn on an appendage (e.g., a wrist, arm, finger, or thumb) of a user. The band carries multiple sensors that are responsive to vibrations. The sensors are physically spaced apart from one another on or within the band. The band also carries an on-board processor. The sensors detect vibrations at the appendage of the user when the user performs different finger tapping gestures (i.e., tapping gestures involving different individual fingers or different combinations of fingers) and provide corresponding vibration signals to the processor. The processor classifies the finger tapping gesture(s) based on the vibration signals and an on-board transmitter sends a corresponding signal to control, operate, or interact with a receiving electronic device. The sensors include inertial sensors, digital MEMS microphones, or a combination thereof.
Abstract:
Systems, articles, and methods for improved capacitive electromyography (“EMG”) sensors are described. The improved capacitive EMG sensors include one or more sensor electrode(s) that is/are coated with a protective barrier formed of a material that has a relative permittivity ∈r of about 10 or more. The protective barrier shields the sensor electrode(s) from moisture, sweat, skin oils, etc. while advantageously contributing to a large capacitance between the sensor electrode(s) and the user's body. In this way, the improved capacitive EMG sensors provide enhanced robustness against variations in skin and/or environmental conditions. Such improved capacitive EMG sensors are particularly well-suited for use in wearable EMG devices that may be worn by a user for an extended period of time and/or under a variety of skin and/or environmental conditions. A wearable EMG device that provides a component of a human-electronics interface and incorporates such improved capacitive EMG sensors is described.