Robust estimation of temperatures inside and outside a device can be achieved using one or more absolute temperature sensors optionally in conjunction with thermopile heat flux sensors. Thermopile temperature sensing systems can measure a temperature gradient across two locations within the device, to estimate absolute temperature at locations that are impractical to measure using absolute temperature sensors. Using heat flux models associated with the device, the thermopile temperature sensing system can be used to estimate temperature associated with objects that contact an outer surface of the device, such as a user's skin temperature. Additionally, the thermopile temperature sensing system can be used to estimate ambient air temperature. Within a device, temperature measurements from the thermopile temperature sensors can be used to compensate sensor measurements, such as when the accuracy or reliability of a sensor varies with temperature.

A temperature sensor assembly configured to be coupled thermally to a vessel wall for determining a temperature of a surface of the vessel wall is provided, the assembly includes: a first single-branched thermal conduction path, between the surface of the vessel wall and an environment of the temperature sensor assembly, comprising a temperature measurement sensor, configured to be thermally coupled to a first site of the surface of the vessel wall resulting in a first thermal resistance; and a second single-branched thermal conduction path, between a second site of the surface of the vessel wall and an environment of the temperature sensor assembly, comprising a reference temperature sensor, configured to be thermally coupled to the surface of the vessel wall resulting in a second thermal resistance.

A temperature sensor assembly configured to be coupled thermally to a vessel wall for determining a temperature of a surface of the vessel wall is provided, the assembly includes: a first single-branched thermal conduction path, between the surface of the vessel wall and an environment of the temperature sensor assembly, comprising a temperature measurement sensor, configured to be thermally coupled to a first site of the surface of the vessel wall resulting in a first thermal resistance; and a second single-branched thermal conduction path, between a second site of the surface of the vessel wall and an environment of the temperature sensor assembly, comprising a reference temperature sensor, configured to be thermally coupled to the surface of the vessel wall resulting in a second thermal resistance.

An apparatus for estimating body temperature of an object is provided. The apparatus for estimating body temperature includes: a sensor configured to obtain spectra through a plurality of light paths of an object; and a processor configured to obtain a temperature slope between temperatures corresponding to the plurality of light paths based on the spectra of the plurality of light paths and a reference spectrum measured at a reference temperature, and estimate the body temperature of the object based on the temperature slope.

A method for estimating the temperature of a component being monitored is described herein, comprising: inputting data related to the component being monitored into a brake thermal model; using the brake thermal model to predict a temperature of the component based on the input data; inputting a) actual temperature sensor measurement data of the component and b) the predicted temperature into an estimation algorithm, wherein the estimation algorithm combines the a) actual temperature sensor data and b) predicted temperature and generates an estimated brake temperature of the component based on the combined inputs. A computer-implemented system is also described.

System, method, and computer program product for improving the accuracy of blood glucose measurements in a blood glucose meter by compensating for thermal effects of the glucose meter hardware. A machine learning model is used to predict the reaction site temperature on a blood glucose test strip based on one or more temperature measurements and device status information. The model receives several inputs including at least one temperature measurement sensed near the reaction site as well as device usage and other factors that may influence the reaction site temperature. The model provides a predicted reaction site temperature to the glucometer software or firmware to be used in a blood glucose calculation.

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A system for screening persons' temperatures comprises an imaging device configured to generate imagery data, including infrared image data, of a first scene and a second scene. The system receives imagery data from the first scene, identifies persons in the scene using the imagery data, and determines each person's temperature. The system further compares the persons' temperatures to a threshold and indicates a person should be directed to the second scene if the person's temperature is above a threshold. Subsequently, the system determines and compares the person's temperature in the second scene and provides an indication if the person's temperature exceeds a second threshold. Further, a confidence factor can be associated with determinations of persons' temperatures.

One embodiment is a system for estimating an internal temperature of a battery including a first circuit for receiving a system input signal comprising a measurement of at least one observable quantity associated with the battery and outputting an average battery temperature signal based on the system input signal; and an estimator for receiving the system input signal and the average battery temperature signal and estimating an internal temperature of the battery based on the received signals, wherein the estimator comprises a lumped thermal model of the battery comprising a plurality of parameters.

Parameters relating to rotation of a motor (2) measured every constant time are acquired and the moving average of each constant interval of the parameters is calculated. The calculated moving averages are input to a training model trained so as to output a temperature of magnets attached to a rotor (7) of the motor (2) when the moving averages of the parameters relating to rotation of the motor (2) are input, and an estimated value of the magnet temperature output from the model is acquired. Next, the acquired estimated value of the magnet temperature is output.

A thermostat is disclosed. The thermostat can include one or more temperature sensors configured to measure a plurality of temperature values within a building. The thermostat can include a processing circuit coupled to the one or more temperature sensors. The processing circuit can receive the plurality of measured temperature values from the one or more temperature sensors. The processing circuit can determine, based on a time invariant Non-Linear Least Squares (NLSQ) technique and the plurality of measured temperature values, a compensated temperature value within the building, wherein the compensated temperature value accounts for an unknown temperature state of the thermostat when the thermostat is turned on.