A network of motion sensors employs sensitive accelerometers to issue time-domain measurements of building movement from multiple locations within and between buildings and other structures. The time-domain measurements from the various motion sensors are synchronized and converted into frequency-domain measurements of building movement. Individual motion sensors can be equipped with the requisite processor and memory to synchronize and covert the time-domain measurements. The motions sensors can classify detected events into various event types, such as earthquakes, wind events, or bipedal locomotion. The sensors can also communicate with one another or other resources to calculate event probabilities. A motion sensor may, for example, receive an earthquake-verification signal responsive to an earthquake-verification request. The network of motion sensors can calculate local soil stiffness and financial loss estimations responsive to their individual or collective frequency-domain measurements.

In one aspect, a system for detecting plugging of an agricultural implement may include a disc rotatably coupled to a frame member, with the disc configured to rotate relative to soil within a field as the implement is moved across the field. The system may also include a disc scraper coupled to the frame member, with the disc scraper configured to remove the soil from the disc as the disc rotates relative to the soil. Furthermore, the system may include a sensor configured to detect a parameter indicative of an acceleration of the disc scraper relative to frame member. Additionally, a controller of the system may be configured to monitor the acceleration of the disc scraper relative to the frame member based on data received from the sensor moreover. The controller may be further configured to determine when the disc is plugged based on the monitored acceleration.

A network of motion sensors employs sensitive accelerometers to issue time-domain measurements of building movement from multiple locations within and between buildings and other structures. The time-domain measurements from the various motion sensors are synchronized and converted into frequency-domain measurements of building movement. Individual motion sensors can be equipped with the requisite processor and memory to synchronize and covert the time-domain measurements. The motions sensors can classify detected events into various event types, such as earthquakes, wind events, or bipedal locomotion. The sensors can also communicate with one another or other resources to calculate event probabilities. A motion sensor may, for example, receive an earthquake-verification signal responsive to an earthquake-verification request. The network of motion sensors can calculate local soil stiffness and financial loss estimations responsive to their individual or collective frequency-domain measurements.

Misalignment of intersecting devices on a diagnostic instrument may be detected and remediated using a system comprising components such as an accelerometer, a plurality of strain gauges and a device comprising a processor and a memory (e.g., a computer). In such a system, the accelerometer may be adapted to detect movement of the diagnostic instrument. The device comprising the processor and the memory may be configured to, for each of the structural elements of the diagnostic instrument, determine whether an alignment change has taken place in that structural element based on analyzing measurements made by the plurality of strain gauges. The device comprising the processor and the memory may also be configured to, for each structural element where an alignment change is determined to have taken place, trigger a remediation for each device from a set of devices impacted by the alignment change of that structural element.

Misalignment of intersecting devices on a diagnostic instrument may be detected and remediated using a system comprising components such as an accelerometer, a plurality of strain gauges and a device comprising a processor and a memory (e.g., a computer). In such a system, the accelerometer may be adapted to detect movement of the diagnostic instrument. The device comprising the processor and the memory may be configured to, for each of the structural elements of the diagnostic instrument, determine whether an alignment change has taken place in that structural element based on analyzing measurements made by the plurality of strain gauges. The device comprising the processor and the memory may also be configured to, for each structural element where an alignment change is determined to have taken place, trigger a remediation for each device from a set of devices impacted by the alignment change of that structural element.

A system for sensing and assessing blast events may include a sensing device configured for directly or indirectly securing to a user. The sensing device may include a kinematics sensor configured for sensing at least one of an acceleration and a velocity associated with an event and for generating kinematic signal data based on the event. The sensing device may also include a computer-readable storage medium having instructions stored thereon for receiving the kinematic signal data from the kinematic sensor and storing the kinematic signal data and a processor for processing the instructions to capture the kinematic signal data. The system may also include a computing device configured for analyzing the kinematic signal data to classify the event as a blast event or not a blast event. A method of assessing a blast event using the sensing system may also be provided.

A finger-mounted device may include finger-mounted units. The finger-mounted units may each have a body that serves as a support structure for components such as force sensors, accelerometers, and other sensors and for haptic output devices. The body may have sidewall portions coupled by a portion that rests adjacent to a user's fingernail. The body may be formed from deformable material such as metal or may be formed from adjustable structures such as sliding body portions that are coupled to each other using magnetic attraction, springs, or other structures. The body of each finger-mounted unit may have a U-shaped cross-sectional profile that leaves the finger pad of each finger exposed when the body is coupled to a fingertip of a user's finger. Control circuitry may gather finger press input, lateral finger movement input, and finger tap input using the sensors and may provide haptic output using the haptic output device.

An encoder device for determining a kinematic value of the movement of a first object relative to a second object is provided, wherein the encoder device comprises a standard associated with the first object and at least one scanning unit associated with the second object for producing at least one scanning signal by detection of the standard and a control and evaluation unit that is configured to determine the kinematic value from the scanning signal. The control and evaluation unit is here further configured to determine the kinematic value by an evaluation of the scanning signal using a method of machine learning, with the evaluation being trained with a plurality of scanning signals and associated kinematic values.

According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.

A finger-mounted device may include finger-mounted units. The finger-mounted units may each have a body that serves as a support structure for components such as force sensors, accelerometers, and other sensors and for haptic output devices. The body may have sidewall portions coupled by a portion that rests adjacent to a user's fingernail. The body may be formed from deformable material such as metal or may be formed from adjustable structures such as sliding body portions that are coupled to each other using magnetic attraction, springs, or other structures. The body of each finger-mounted unit may have a U-shaped cross-sectional profile that leaves the finger pad of each finger exposed when the body is coupled to a fingertip of a user's finger. Control circuitry may gather finger press input, lateral finger movement input, and finger tap input using the sensors and may provide haptic output using the haptic output device.