Abstract: The various implementations described herein include methods and systems for power-efficient processing of neuromuscular signals. In one aspect, a method includes: (i) obtaining a first set of neuromuscular signals; (ii) after determining, using a low-power detector, that the first set of neuromuscular signals require further processing to confirm that a predetermined in-air hand gesture has been performed: (a) processing the first set of neuromuscular signals using a high-power detector; and (b) in accordance with a determination that the processing indicates that the predetermined in-air hand gesture did occur, registering an occurrence of the predetermined in-air hand gesture; (iii) receiving a second set of neuromuscular signals; and (iv) after determining, using the low-power detector and not using the high-power detector, that a different predetermined in-air hand gesture was performed, performing an action in response to the different predetermined in-air hand gesture.

Abstract: Methods and wearable devices for optimizing power consumption using sensor-based position and use determinations are described here. One example method is performed at a device that includes a first sensor configured to operate with a first power consumption rate and a second sensor configured to operate with a second power consumption rate. The method includes, while a component associated with the second sensor is in an inactive state, receiving first sensor data, and determining whether the first sensor data indicates movement of the device. The method also includes, when movement of the device is indicated, operating the second sensor in an active state. The method further includes, after activating the second sensor, when second sensor data from the second sensor indicates that the device has been placed on a user’s body, continuing to operate the second sensor in the active state.

Abstract: A method of assessing impact of applications executed by a computing device on a memory of the computing device includes: storing, in the memory, (i) a plurality of reference write operation sizes, and (ii) for each reference write operation size, a corresponding reference endurance indicator defining a write endurance; executing, at a processor of the computing device interconnected with the memory, a monitor application simultaneously with a test application; via execution of the monitor application at the processor: generating a usage profile for the test application, the usage profile defining a measured write operation size and a measured write operation rate for write operations initiated by the test application; determining an impact indicator for the test application based on the usage profile, the reference write operation sizes and the reference endurance indicators; and presenting the impact indicator.

Abstract: A computing device includes: a memory storing an audio sequence and a reference attribute associated with playback of the audio sequence; a speaker; a microphone; an audio enclosure supporting the speaker and the microphone; a processor configured to: simultaneously (i) control the speaker to play the audio sequence, and (ii) control the microphone to capture a test recording corresponding to playback of the audio sequence; based on a comparison of the reference attribute to a test attribute associated with the test recording, detect occlusion of the audio enclosure; and in response to detecting occlusion of the audio enclosure, generate a notification message.

Abstract: A method of assessing impact of applications executed by a computing device on a memory of the computing device includes: storing, in the memory, (i) a plurality of reference write operation sizes, and (ii) for each reference write operation size, a corresponding reference endurance indicator defining a write endurance; executing, at a processor of the computing device interconnected with the memory, a monitor application simultaneously with a test application; via execution of the monitor application at the processor: generating a usage profile for the test application, the usage profile defining a measured write operation size and a measured write operation rate for write operations initiated by the test application; determining an impact indicator for the test application based on the usage profile, the reference write operation sizes and the reference endurance indicators; and presenting the impact indicator.

Abstract: An application executed on a device reads a portion of a memory during one of an initialization operation and a regular read operation. The application may trigger a preventative read operation during at least one regular read operation. During the preventative read operation the application selects at least one block and at least one page for the preventative read operation. The application determines a cadence for the preventative read operation. The application obtains an error correction code (ECC) status for the portion of the memory, determines if a number of errors associated with the portion is greater than a predefined ECC threshold and performs a correction, responsive to determining that a number of errors associated with the portion is greater than a predefined ECC threshold.

Abstract: An application executed on a device reads a portion of a memory during one of an initialization operation and a regular read operation. The application may trigger a preventative read operation during at least one regular read operation. During the preventative read operation the application selects at least one block and at least one page for the preventative read operation. The application determines a cadence for the preventative read operation. The application obtains an error correction code (ECC) status for the portion of the memory, determines if a number of errors associated with the portion is greater than a predefined ECC threshold and performs a correction, responsive to determining that a number of errors associated with the portion is greater than a predefined ECC threshold.