Pilots

Patent: Circadian Sensor System

US Patent office granted a patent to Blue Iris on March 19, 2024 for their Circadian Sensor System. A circadian health system (CHS) provides for improving the health of Alzheimer’s patients and other persons by controlling their exposure to circadian lighting.  Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about about eye-level positions on respective walls of room.  Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands.  Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified.  The identifications then allow predetermined high-resolution, e.g., 5nm, spectra in the circadian wavelengths of 450-500 nm to be determined.  The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus.  Source: https://ppubs.uspto.gov/api/pdf/downloadPdf/11931172?requestToken=eyJzdWIiOiI0MzBhYjExNC00OTI0LTRjYjYtYWFkYy0yOGZjOTM2MDM2YjMiLCJ2ZXIiOiJhYzg0ODU3OS02NGRmLTRhNTgtYmZmOS0yNDlmNTFiMTQ2ODciLCJleHAiOjB9

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Patent: Systems and methods for estimation of Parkinson’s Disease gait impairment severity from videos using MDS-UPDRS

Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score. U.S. Patent 11,918,370 Issued March 5, 2024

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Application of Sentiment Analysis and Generative Language Algorithms to Kinto, a Support Service for Family Caregivers of Persons Living with ADRD

Joseph Chung, Kinto. The Kinto pilot project explored how AI technologies—specifically sentiment analysis and generative language models—could enhance support for family caregivers of individuals living with Alzheimer’s and related dementias (ADRD).

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