Abstract: Method and system for early detection of an indoor fire using either a smartphone or a standalone device having a light detection and ranging (LiDAR) sensor or Time of Flight (TOF) sensor, are provided herein. The system may include: a processing device; a memory device installed on the mobile communication device storing a set of instructions that, when executed, cause the processing device to: obtain reflection measurements from the LiDAR/TOF sensor, wherein reflections are measured for a plurality of segments along a line of sight of the LiDAR/TOF sensor; calculate a level of air particles in an ambience of the mobile communication device, based on the reflection measurements, and further based on calibration data model which maps the reflection measurements onto level of air particles; and detect smoke within the ambience of the mobile communication device, whenever the calculated level of air particles goes beyond a predefined threshold.

Abstract: Method and system for detection of air particles or particle matter (PM) in an indoor ambience using either a smartphone or a standalone device having a light detection and ranging (LiDAR) sensor or Time of Flight (TOF) sensor, are provided herein. The system may include: a processing device; a memory device installed on the mobile communication device storing a set of instructions that, when executed, cause the processing device to: obtain reflection measurements from the LiDAR/TOF sensor, wherein reflections are measured for a plurality of section along a line of sight of the LiDAR/TOF sensor; and calculate a level of air particles in an ambience of the mobile communication device, based on the reflection measurements, and further based on calibration data model which maps the reflection measurements onto level of air particles.

Abstract: A method and a system for monitoring the spraying of sunlight reflecting particles into the stratosphere to address global warming using smartphones are provided herein. The method may include the following steps: spraying, using a plurality of airplanes flying through a plurality of different geographical locations, sunlight reflecting particles, in accordance with a spraying scheme; sampling using sensors of a plurality of smartphones located in a plurality of different geographical locations, a plurality of atmospheric measurements; training, using a computer processor, and based on the plurality of atmospheric measurements, a model configured to predict a trend in a change of temperature in consequence of the spraying of the sunlight reflecting particles; and repeatedly updating the spraying scheme based on the model.

Abstract: A method and system for personal environmental monitoring using a mobile device are provided herein. The method may include: determining an ultraviolet index, “UVI”, in the vicinity of the mobile device, based on data received from the mobile device; determining a modified UVI, “m-UVI”, based on at least one of further data received from the mobile device and data input by a user of the mobile device; determining a predicted exposure of the user of the mobile device, based on the m-UVI; determining a minimal erythemal dose, “MED”, of the user based on an input skin type of the user; providing an erythema timer based on the m-UVI and the MED; and continually updating the erythema timer based on changing environmental or user conditions, wherein the received data corresponds to at least one of: a current time; a geolocation of the mobile device; and an altitude of the mobile device.

Abstract: A method for determining airborne particulate density, the method including: locating or positioning at least one dark target within a local environment and scanning the local environment using an image capturing component of a user equipment device; constructing a geometric three-dimensional model of the local environment; determining pertinent features within the local environment based on the geometric three-dimensional model; focusing the image capturing component of the user equipment device on the dark target, the user equipment device having quantified location and orientation within the local environment; determining an instantaneous light intensity of the local environment and capturing at least one image of the dark target using the image capturing component of the user equipment device; and analyzing the at least one image in correspondence with the pertinent features, the instantaneous light intensity, and the dark target, and determining therefrom an airborne particulate density in the local envi

Abstract: Methods and systems are disclosed which determine a location context of a mobile device such as a smartphone. The method may include the following steps: collecting sensor specific data from sensors of the mobile device, applying the sensor specific data to a decision function, and determining, as an output of the decision function, a location context of the mobile device. Also disclosed is a non-transitory computer readable medium containing instructions that when executed causes one or more processors of the mobile device to perform the disclosed method.

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and computer-readable devices. An audio processing device plays a source audio signal, including causing the source audio signal to be audibly output by an electroacoustic transducer of a user earpiece. The audio processing device records, while playing the source audio signal, a recorded audio signal using the electroacoustic transducer. The audio processing device identifies one or more parameters that indicate how properties of the user earpiece affect playing of the source audio signal, at least one of the parameters being temperature dependent. The audio processing device determines a temperature value estimated to cause the source audio signal that was played by the audio processing device to result in the recorded audio signal, accounting for changes to the source audio signal that occur due to the one or more parameters.

Abstract: A method for determining airborne particulate density, the method including: locating or positioning at least one dark target within a local environment and scanning the local environment using an image capturing component of a user equipment device; constructing a geometric three-dimensional model of the local environment; determining pertinent features within the local environment based on the geometric three-dimensional model; focusing the image capturing component of the user equipment device on the dark target, the user equipment device having quantified location and orientation within the local environment; determining an instantaneous light intensity of the local environment and capturing at least one image of the dark target using the image capturing component of the user equipment device; and analyzing the at least one image in correspondence with the pertinent features, the instantaneous light intensity, and the dark target, and determining therefrom an airborne particulate density in the local envi