Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

The present disclosure relates to a positioning apparatus and method and a self-moving device. The positioning apparatus includes a first positioning module (101), a sensor module (102), and a processing module (103). The position of the positioning apparatus is determined according to the positioning result of the first positioning module (101) and the positioning result determined by using the sensor module (102) to measure the acceleration and the angle parameter and based on a pedestrian dead reckoning algorithm, and determine the boundary of the self-moving device. A pedestrian dead reckoning technology independent of an external environment is introduced during boundary positioning, and the pedestrian dead reckoning technology and other positioning technologies are integrated to establish a virtual boundary, so that positioning precision is high, and a precise boundary is established. In addition, it is not necessary to arrange a physical boundary, so that operations of a user are less complex.

An unmanned aircraft includes a circuit board with an inertia sensor, a vibration damper configured to attenuate vibration of the inertia sensor, a weight block configured to provide support for positioning the circuit board, and a housing assembly configured to form an inner chamber to accommodate the circuit board and the weight block. The vibration damper includes a first vibration-attenuation cushion and a second vibration-attenuation cushion bonded respectively to a first side and a second side of the circuit board. The weight block is disposed between the first vibration-attenuation cushion and the circuit board.

An inertial measurement unit includes a sensor and a heat preservation system. The heat preservation system includes a heat preservation body and a heat source. The sensor is positioned on the heat preservation body. The heat source is configured to generate heat. The heat preservation body is configured to transfer the heat from the heat source to the sensor to maintain a preset temperature in a space surrounding the sensor.

A method for determining the rotational rate of a movable member using an array of inertial sensors is provided. The method includes defining a hidden Markov model (“HMM”). The HMM represents a discrete value measurement of the rotational rate of the movable member. A transition probability of the HMM accounts for a motion model (linear or non-linear) of the movable member. An observation probability of the HMM accounts for noise and bias of at least one of the inertial sensors of the array of inertial sensors. A processor receives input from the array of inertial sensors. The processor determines the rotational rate of the movable member by solving for an output of the HMM using the input received from the array of inertial sensors. The processor may use a forward algorithm, a forward-backward algorithm, or a Viterbi algorithm to solve the HMM.

An inertial sensor includes a substrate and a structure disposed on the substrate. The structure includes a detection movable body which overlaps the substrate in a direction along a Z-axis and includes a movable detection electrode, a detection spring that supports the detection movable body, a drive portion that drives the detection movable body in a direction along an X-axis with respect to the substrate, a fixed detection electrode fixed to the substrate and facing the movable detection electrode, a first compensation electrode for applying an electrostatic attraction force having a first direction component different from the direction along the X-axis to the detection movable body, and a second compensation electrode for applying an electrostatic attraction force having a second direction component opposite to the first direction component to the detection movable body. One of the first compensation electrode and the second compensation electrode includes an adjustment portion that adjusts magnitude of the electrostatic attraction force.

The Coaxial Angular Velocity Sensor System is an electronic sensor, which processes and supplies the output signal of the inertial angular velocity with high accuracy and great reliability. The device consists of the main components: angular velocity sensor, analog-digital converter, microcontroller, temperature sensor, power source, mechanical anti-noise-proof chassis. The device's microprocessor comes with a signal processing algorithm that helps increase the accuracy of the device's output. Because of its compact size, high precision, and low cost, the device is used in high precision devices such as UAV cameras, or in life applications such as self-balancing vehicles.

An unmanned aircraft includes a circuit board with an inertia sensor, and a weight block configured to have a flat surface and a recess formed on the flat surface, and a housing assembly configured to form an inner chamber to accommodate the circuit board and the weight block. The circuit board is embedded in the recess by fixedly bonding to the flat surface through adhesion.

Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

An instrument package for use during the drilling a wellbore. The instrument package includes a plurality of instruments such as accelerometers, gyroscopes, and magnetometers; a computer is configured to determine the current position of the plurality of instruments from a set of measurements produced by the plurality of instruments; and wherein the plurality of instruments are mechanically isolated from a drill head assembly by one or more multi-degree of freedom vibration isolators. The computer preferably has at least two modes different analytical modes of analyzing the set of measurements produced by the plurality of instruments, including a continuous mode and a survey mode, the continuous mode being operational during times that active drilling is occurring and the survey mode being operational during times that the active drilling is not occurring.