Abstract: Techniques for detecting user activity and repetitions (rep) counting are described. A system may dynamically determine a threshold value for counting reps. The threshold value may be based on an activity predicted by the system using sensor data. The threshold value may be based on a rep rate. Changes in the threshold value may enable more accurate rep counting when a user is performing an activity that involves taking reps, such as, walking, running, rowing bicycling, etc., and may further cease counting of reps when a user is performing an activity that does not involve taking repetitions but may result in sensor data that triggers rep counting.

Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

Abstract: A device that is capable of performing tap detection and other gesture detection using data from an accelerometer. Motion data from the accelerometer is filtered and processed to detect motion. If motion is detected filtered motion data may be processed using a first neural network to detect a tap gesture, which may include one or multiple taps. Motion data may also be processed using a second neutral network to detect other gestures, which may be turned on or off based on a location of the device. Actions may be performed in response to a detected gesture, where the action may be performed by the device or by another device or system.

Abstract: A system configured to detect a tap event on a surface of a device using microphone audio data and motion data. Instead of using a physical sensor to detect the tap event, the device detects a tap event based on a power level difference between two or more microphones. When a power ratio exceeds a threshold, the device may detect a tap event and perform an action, such as delaying or ending an alarm. To reduce false positives caused by wind or loud noises close to the microphones, the device may confirm a tap event using motion data that indicates actual movement of the device. In some examples, the device may detect the tap event using a neural network processing the microphone data and the motion data. In addition, the device may embed the motion data within the microphone data using unused bits of the microphone data.

Abstract: A controller electronic device selectively associates one or more monitoring electronic devices and a viewing electronic device, so that the viewing electronic device can selectively access content acquired by the one or more monitoring electronic devices, such as captured images and/or measured acoustic information corresponding to sound in environments. In particular, the controller electronic device may receive messages with timestamps and current locations of a monitoring electronic device that is associated with the viewing electronic device. Based on a duration of time the monitoring electronic device is at a fixed or an approximately fixed location, the controller electronic device may establish the associations. For example, a maximum distance associated with the associations may increase as the duration of time increases.

Abstract: An electronic device executes a program module that determines whether a power supply in the electronic device provides power from an external power source or an internal power source. When the power supply provides power from the external power source, the electronic device may remain in a monitoring mode without transitioning to a power-saving mode when the electronic device is inactive. Note that in the monitoring mode the electronic device at least selectively captures images and measures acoustic information corresponding to sound in an environment, and then communicates the images and the acoustic information to a second electronic device. Alternatively, when the power supply provides power from the internal power source, the electronic device selectively provides an activity signal that keeps the electronic device in the monitoring mode without transitioning to the power-saving mode when the electronic device is inactive.

Abstract: A controller electronic device selectively associates one or more monitoring electronic devices and a viewing electronic device, so that the viewing electronic device can selectively access content acquired by the one or more monitoring electronic devices, such as captured images and/or measured acoustic information corresponding to sound in environments. In particular, the controller electronic device may receive messages with timestamps and current locations of a monitoring electronic device that is associated with the viewing electronic device. Based on a duration of time the monitoring electronic device is at a fixed or an approximately fixed location, the controller electronic device may establish the associations. For example, a maximum distance associated with the associations may increase as the duration of time increases.

Abstract: An electronic device executes a program module that sets an operating mode of the electronic device as a monitoring mode or a viewing mode. When the electronic device is in the monitoring mode, the electronic device at least selectively captures images and measures acoustic information corresponding to sound in an environment, and then communicates the images and the acoustic information to a second electronic device. Alternatively, when the electronic device is in the viewing mode, the electronic device at least selectively receives visual information and additional acoustic information from the second electronic device, presents the visual information on a display, and outputs additional sound corresponding to the additional acoustic information using an acoustic transducer. For example, the electronic device may be a previous model and/or may execute a previous version of an operating system.

Abstract: An electronic device that obtains information about particles is described. This electronic device includes an imaging system that captures one or more images of the particles in a flowing fluid using an optical beam that is at an angle or approximately perpendicular to an average flow direction. In particular, the optical beam from an optical source is diffracted by an aperture, transmitted through a protective mechanism, and captured by an imaging sensor. The one or more images may include diffraction patterns of a subset of the particles deposited on the top surface. Moreover, the one or more images may be analyzed by the electronic device and/or remotely from the electronic device to determine the information about the particles, such as: types of particles, particle sizes, and/or a particle count. Note that the analysis may use signal processing to obtain a resolution that is less than a resolution of the one or more images.