Smart glasses super app. AI assistant, language learning, proactive agents, screen mirror, captions, and more. Write 1 app that runs on any pair of smart glases.
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Updated
Oct 1, 2024 - Python
Smart glasses super app. AI assistant, language learning, proactive agents, screen mirror, captions, and more. Write 1 app that runs on any pair of smart glases.
Python package for the processing and analysis of Inertial Measurement Unit Data
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
asleep: a sleep classifier for wearable sensor data using machine learning
A Python package for the validation of heart rate and heart rate variability in wearables
Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearables data.
Python package for digital phenotyping data synchronization and acquisition
A smart dog vest connected to a cellular network, collecting biometrics, and performing YOLO object recognition
Official implementation of our paper "ENHANCING HEALTHCARE WITH EOG: A NOVEL APPROACH TO SLEEP STAGE CLASSIFICATION"
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
Code for paper "Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study"
Code for paper "A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder".
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
Analysis of my fitbit wearable data
Code for NeurIPS2022 TS4H workshop paper "Inferring mood disorder symptoms from multivariate time-series sensory data"
Detect blinks using the J!NS MEME glasses
OpenEyeTap 02w wearable.
The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
Proyecto de la CDMX y el Instituto de Ingeniería de la UNAM para acercar a jóvenes y niños a las microtecnologías.
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