Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

A foldable mobile electronic device is provided. The foldable mobile electronic device includes a processor configured to recognize, based on the data received from the first sensor, a change in a state of the foldable mobile electronic device from the folded state to a partially folded state before reaching an unfolded state, to identify a first illuminance by using the data received from the second sensor, based on the recognized state change, to set a first luminance corresponding to the first illuminance as a brightness of the display, to when an angle identified after the state change falls within a predetermined first angle range or when a specific time has not elapsed after the state change, perform a real-time adjustment operation on the brightness of the display, based on a second illuminance identified using the second sensor, and to when the angle identified after the state change is outside the first angle range or when the specific time has elapsed after the state change, perform a hysteresis adjustment operation on the brightness of the display, based on the first illuminance.

A foldable mobile electronic device is provided. The foldable mobile electronic device includes a processor configured to recognize, based on the data received from the first sensor, a change in a state of the foldable mobile electronic device from the folded state to a partially folded state before reaching an unfolded state, to identify a first illuminance by using the data received from the second sensor, based on the recognized state change, to set a first luminance corresponding to the first illuminance as a brightness of the display, to when an angle identified after the state change falls within a predetermined first angle range or when a specific time has not elapsed after the state change, perform a real-time adjustment operation on the brightness of the display, based on a second illuminance identified using the second sensor, and to when the angle identified after the state change is outside the first angle range or when the specific time has elapsed after the state change, perform a hysteresis adjustment operation on the brightness of the display, based on the first illuminance.

A vehicle theft-prevention apparatus can include at least one computing device couple to a plurality of sensors and a wireless transceiver. The plurality of sensors can be configured to sense measurements proximate to a vehicle. The at least one computing device can be configured to read a plurality of first measurements of a first sensor of the plurality of sensors. Based on the plurality of first measurements from the first sensor, the at least one computing device can determine that a key fob moved outside of a range of the first sensor. In response to the key fob moving outside of the range of the first sensor, the at least one computing device can transition to an armed state. The at least one computing device can read a plurality of second measurements from a subset of the plurality of sensors. Based on the plurality of second measurements, the at least one computing device can determine that a person has entered the vehicle.

According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive a first signal from an exercising device, process the received signal, respond to the received signal by transmitting a second signal to the exercising device, and participate in a pairing process with the exercising device.

According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive a first signal from an exercising device, process the received signal, respond to the received signal by transmitting a second signal to the exercising device, and participate in a pairing process with the exercising device.

In one embodiment, a method includes determining, by a controller, a first wind direction relative to a first vehicle and determining, by the controller, a first wind speed relative to the first vehicle. The method also includes calculating, by the controller, an absolute wind direction relative to ground using the first wind direction relative to the first vehicle and calculating, by the controller, an absolute wind speed relative to the ground using the first wind speed relative to the first vehicle. The method further includes calculating, by the controller, a second wind direction relative to a second vehicle using the absolute wind direction and calculating, by the controller, a second wind speed relative to the second vehicle using the absolute wind speed. A front end of the first vehicle and a front end of the second vehicle face different directions.

In general, techniques are described by which a computing system detects low-impact collisions. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine whether an object collided with a vehicle based on a comparison of data received from at least one motion sensor configured to measure at least an acceleration of the vehicle and data received from a plurality of level sensors, wherein each level sensor is configured to measure a relative position between a body of the vehicle and a respective wheel of a plurality of wheels of the vehicle. Execution of the instructions further causes the at least one processor to perform one or more actions in response to determining that the object collided with the vehicle.

In general, techniques are described by which a computing system detects low-impact collisions. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine whether an object collided with a vehicle based on a comparison of data received from at least one motion sensor configured to measure at least an acceleration of the vehicle and data received from a plurality of level sensors, wherein each level sensor is configured to measure a relative position between a body of the vehicle and a respective wheel of a plurality of wheels of the vehicle. Execution of the instructions further causes the at least one processor to perform one or more actions in response to determining that the object collided with the vehicle.