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 εr 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.
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:
Wearable electronic devices that employ one or more contact sensors (e.g., capacitive sensors and/or biometric sensors) are described. Contact sensors include electromyography sensors and/or capacitive touch sensors. Capacitive touch sensors include single-frequency capacitive touch sensors, recently-proposed swept frequency capacitive touch sensors, and a generalized version of swept frequency capacitive touch sensors referred to as multi-frequency capacitive touch sensors. The contact sensors are integrated into various devices, including generic watchstraps that may be substituted for the existing watchstrap in any wristwatch design, generic watch back-plates that may be substituted for the existing back-plate in any wristwatch design, and wearable electromyography devices that provide gesture-based control in a human-electronics interface.
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:
Systems, devices, and methods that implement state machine models in wearable electronic devices are described. A wearable electronic device stores processor-executable gesture identification instructions that, when executed by an on-board processor, enable the wearable electronic device to identify one or more gesture(s) performed by a user. The wearable electronic device also stores processor-executable state determination instructions that, when executed by the processor, cause the wearable electronic device to enter into and transition between various operational states depending on signals detected by on-board sensors. The state machine models described herein enable the wearable electronic devices to identify and automatically recover from operational errors, malfunctions, or crashes with minimal intervention from the user.
Abstract:
Systems, devices, and methods that select between multiple wireless connections are described. A gesture-based control device detects physical gestures performed by the user. The user performs a specific gesture to indicate a particular perceiving device from a set of available receiving devices with which the user desires to interact. The device identifies the gesture and determines, based on the gesture identity, the particular receiving device in the set of available receiving devices with which the user desires to interact. Based on this determination, the device establishes a wireless connection with the particular receiving device with which the user desires to interact.
Abstract:
Wearable electronic devices that employ one or more contact sensors (e.g., capacitive sensors and/or biometric sensors) are described. Contact sensors include electromyography sensors and/or capacitive touch sensors. Capacitive touch sensors include single-frequency capacitive touch sensors, recently-proposed swept frequency capacitive touch sensors, and a generalized version of swept frequency capacitive touch sensors referred to as multi-frequency capacitive touch sensors. The contact sensors are integrated into various devices, including generic watchstraps that may be substituted for the existing watchstrap in any wristwatch design, generic watch back-plates that may be substituted for the existing back-plate in any wristwatch design, and wearable electromyography devices that provide gesture-based control in a human-electronics interface.
Abstract:
Wearable electronic devices that employ techniques for routing signals between components are described. An exemplary wearable electronic device includes a set of pod structures with each pod structure positioned adjacent and physically coupled to at least one other pod structure. The set of pod structures includes multiple sensor pods and at least one processor pod. Each sensor pod includes an on-board sensor to in use detect user-effected inputs and provide signals in response to the user-effected inputs. The signals are serially routed via successive ones of adjacent pod structures by respective communicative pathways until the signals are routed from the sensor pods to the processor pod. A processor on-board the processor pod processes the signals. Systems, articles, and methods for routing electrical signals and/or optical signals, including analog signals and/or digital signals, between pod structures are described.
Abstract:
Systems, devices and methods that enable a user to access and interact with content displayed on a portable electronic display in an inconspicuous, hands-free manner are described. There is disclosed a completely wearable system comprising a wearable muscle interface device and a wearable head-mounted display, as well as methods for using the wearable system to effect interactions between the user and content displayed on the wearable head-mounted display. The wearable muscle interface device includes muscle activity sensors worn on an arm of the user to detect muscle activity generated when the user performs a physical gesture. The wearable system is adapted to recognize a plurality of gestures made by the user and, in response to each recognized gesture, to effect one or more interaction(s) with content displayed on the wearable head-mounted display.
Abstract:
There is disclosed a muscle interface device and method for interacting with content displayed on wearable head mounted displays. 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's hand and or wrist to interact with content displayed on the wearable head mounted display. The muscle interface device utilizes a plurality of sensors, including one or more of capacitive EMG, MMG, and accelerometer sensors, to detect gestures made by a user. The detected user gestures from the sensors are processed into a control signal for allowing the user to interact with content displayed on the wearable head mounted display in a discreet manner.