A sensor system includes a sensor that is provided in a structure and detects an acceleration, a storage unit that stores installation information indicating a relationship between a direction of a gravitational acceleration and a direction of a detection axis of the sensor, and a drop determination unit that determines whether or not the sensor is dropped based on a representative value of accelerations in the direction of the detection axis detected by the sensor and a gravitational acceleration value in the direction of the detection axis specified based on the installation information.

In some examples, an unmanned aerial vehicle (UAV) may receive location information via the global navigation satellite system (GNSS) receiver and may receive acceleration information via an onboard accelerometer. The UAV may determine a first measurement of acceleration of the UAV in a navigation frame of reference based on information from the accelerometer prior to or during takeoff. In addition, the UAV may determine a second measurement of acceleration of the UAV in a world frame of reference based on the location information received via the GNSS receiver prior to or during takeoff. The UAV may determine a relative heading of the UAV based on the first and second acceleration measurements. The determined relative heading may be used for navigation of the UAV at least one of during or after takeoff of the UAV.

A method and a device for low-power acceleration detection in a stationary vehicle are provided. The method includes putting a telematics device into a sleep mode, performing a plurality of micro wakeups during which a plurality of accelerometer readings are captured. The method further includes sending the plurality of accelerometer readings over a network interface to a telematics server. The telematics device which carries out the method has a controller, memory, and network interface. An accident impact profile may be recorded during the micro wakeups and sent during a regular wakeup duration for analysis by the telematics server.

Provided is an application method of a Micro Electro Mechanical Systems (MEMS) inertial sensor and an electronic device. An application method of an accelerometer includes: based on an influence of a strain, generated under the action of an external force, of the accelerometer on a detection signal of the accelerometer, adopting the detection signal to reflect the external force. An application method of a gyroscope includes: based on an influence of a strain, generated under the action of an external force, of the gyroscope on a detection signal of the gyroscope, adopting the detection signal to reflect the external force. Further provided is an electronic device adopting the foregoing methods.

In accordance with one implementation of the present disclosure, a new approach for determining a movement orientation of a user is proposed in indoor navigation. Generally speaking, a device orientation of a terminal device is obtained based on at least one signal stream collected from the terminal device carried by a moving user. A deviation degree is determined based on the at least one signal stream, here the deviation degree represents a deviation between a movement orientation of the user and an actual device orientation of the terminal device. The movement orientation is determined based on the device orientation in accordance with a determination that the deviation degree is below a threshold degree. With the above implementation, the movement orientation of the user is determined in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

A system for sensing true positive impacts may include a sensing device configured for secured coupling to a user. The sensing device may include a sensor configured for sensing accelerations of an impact and for generating a signal based on the impact. The sensing device may also include a control sensor for sensing when the sensing device is in position for sensing. The sensing device may also include a computer-readable storage medium having instructions stored thereon for receiving and capturing the signal from the sensor, and comparing first and second signals from the control sensor to determine if the signal is a true positive signal. The system may also include a processor for processing the instructions to capture the signal, perform the comparing, and identify the signal as a true positive signal. Method of sensing true positive impacts and of workload monitoring are also provided.

Provided is a communication system including: an external communication unit configured to perform communication with an external communication device via a first communication network; a communication relay unit configured to perform communication with a mobile communication terminal via a second communication network to relay communication between the mobile communication terminal and the external communication device via the first communication network and the second communication network; and a communication control unit configured to execute captured image transmission processing for transmitting a captured image acquired by a camera to the external communication device by the external communication unit, and to execute mobile body relay processing for performing communication between the mobile communication terminal and the external communication device by the communication relay unit.

Aspects of the disclosure relate to computing platforms that utilize improved techniques for dynamic event verification. A computing platform may receive first source data comprising driving data associated with a vehicle over a time period. Based on the first source data, the computing device may determine that the vehicle experienced an event, resulting in an event output. In response to determining the event output, the computing device may generate a request for second source data associated with the vehicle over the time period. The computing device may receive, from a sensor device, the second source data. Based on a comparison of the first source data to the second source data, the computing platform may determine an event comparison output. The computing platform may determine that the event comparison output exceeds a predetermined comparison threshold, and may send an indication of an event in response.

An electronic device with function of recording falling and hitting events is provided. The electronic device includes a gravity sensing unit, a computing unit, and a memory unit. The gravity sensing unit is configured to generate a gravity sensing signal. The computing unit is electrically connected to the gravity unit and is configured to: continuously receive the gravity sensing signal; determine, based on the gravity sensing signal, whether the electronic device enters a falling state or not; determine, based on the gravity sensing signal, whether the electronic device encounters a hitting within a predetermined period of time or not after entering the falling state; and output a falling and hitting record when it is determined that the electronic device encounters a hitting. The memory unit is electrically connected to the computing unit and configured to store the falling and hitting record.

A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.