Hi LLC

The University of Birmingham

Hamid Dehghani

Ryan Field

Katherine Perdue

Julian Kates-Harbeck

Isai Olvera

Michael Henninger

Bryan Johnson

Antonio H Lara

Viktoria Rojkova

Ashutosh Chaturvedi

Hector Richard Abraham Basevi

James Andrew Guggenheim

Iain Bruce Styles

Victoria A Poissant

An optical measurement system includes a light source configured to emit a first light pulse and a second light pulse toward a target, a detector, and a processing unit. The first light pulse has a first wavelength and the second light pulse has a second wavelength different from the first wavelength. The processing unit is configured to determine a plurality of temporal distributions of photons included in the first light pulse and the second light pulse and detected by the detector after the photons are scattered by the target, and determine, based on the plurality of temporal distributions and a source-detector distance estimation model, a distance between the light source and the detector.

Estimation of source-detector separation in an optical measurement system

An optical measurement system includes a first light source configured to emit a first light pulse toward a target, a second light source configured to emit a second light pulse toward the target, a first detector, a second detector, and a processing unit. The processing unit is configured to determine a plurality of temporal distributions of photons included in the first light pulse and the second light pulse and detected by the first detector and the second detector after the photons are scattered by the target. The processing unit is further configured to determine, based on the plurality of temporal distributions, a distance between the first light source and the second detector.

An illustrative method includes accessing, by a computing device, a model simulating light scattered by a simulated target, the model comprising a plurality of parameters. The method further includes generating, by the computing device, a set of possible histogram data using the model with a plurality of values for the parameters. The method further includes determining, by the computing device, a set of components that represent the set of possible histogram data, the set of components having a reduced dimensionality from the set of possible histogram data.

Systems and methods for data representation in an optical measurement system

An illustrative optical measurement device includes a light source configured to emit light pulses directed at a target. The optical measurement device further includes a detector configured to detect arrival times for photons of the light pulses after the photons are scattered by the target. The optical measurement device further includes a processing unit configured to generate, based on the arrival times of the photons at the detector, histogram data associated with the target. The processing unit is further configured to determine, based on the histogram data, an absolute optical property associated with the target. The processing unit is further configured to determine, based on the absolute optical property, a blood oxygenation level of the user, and perform an operation based on the blood oxygenation level.

Devices, systems, and methods using wearable time domain-based activity tracker

A method of generating surface geometry information of an object within an imaged region using an imaging system comprising a camera and a source of structured light, the source of structured light comprising a source of a plurality of rays of light. The method comprising obtaining first image data comprising a plurality of pixels, the first image data comprising image data representing the object and first structured light incident on the object, the first structured light comprising a periodic pattern comprising a plurality of pattern elements and having a first spatial frequency projected from said source of structured light and obtaining second image data comprising a plurality of pixels, the second image data comprising image data representing the object and providing information associating each of the plurality of image pixels of the second image data with a ray of said source of structured light. The first image data is processed based upon the second image data to determine a relationship between each of the plurality of image pixels of the first image data and a pattern element of said pattern of the first structured light projected from said source of structured light and the surface geometry information of the object is generated based upon the determined relationship and position data indicating relative spatial positions of said camera and said source of structured light.

Simultaneous multiple view surface geometry acquisition using structured light and mirrors

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Birmingham, United Kingdom

Hamid Dehghani