Poster Presentation: a2 National Symposium 2024
Title: In-home Cognitive Improvement Training using EEG-NFB Authors: Will Clegern, Nooshin Taheri, Thomas Lambert, Hassan Ghasemzadeh, Lonnie Nelson, Robert Hager
Title: In-home Cognitive Improvement Training using EEG-NFB Authors: Will Clegern, Nooshin Taheri, Thomas Lambert, Hassan Ghasemzadeh, Lonnie Nelson, Robert Hager
Title: Intelligent Cognitive Assistant for Word Retrieval Support for Older Adults with Incipient ADRD Authors: Archna Bhatia, Roger Care, William de Beaumont, Lingyu Gan, Misha Pavel, Peter Pirelli, George Sperling
Title: Validating an AI-enhanced remote patient monitoring platform for orthostatic vital signs Authors: Amar Basu & Michael Busa
Source: https://www.linkedin.com/posts/amarbasu_remotepatientmonitoring-agetech-wearables-activity-7178610115787304960-7aWy?utm_source=share&utm_medium=member_desktop
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
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
Due partly to the cloud space needed for their MassAITC pilot project, Rendever was accepted into the Google for Startups Cloud Program and received over $200,000 in cloud credits.