Are you ready to FLIRT with your wearable data?
Multimodal human activity recognition using wrist-worn wearable sensors.
Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming
Pre-processing methods for mHealth and wearables data.
E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.
empatica-e4-client is a node.js module, which can communicate with Empatica BLE Server to fetch the sensor stream data from the EmpaticaE4 device.
C# library that handles the full process of gathering biometric data from a body-worn sensor, transforming it into handcrafted feature vectors, and delivering an inferencing result in thirty-five lines of code.
Clinical tool for coregistration of frequency and duration based behavior, physiological signals, and video data. Session tracking features streamline multi-session clinical data recording.
Estimation of resting heart rate.
Spec. Project In Computer Engineering at Bogazici University
Python wrapper for Empatica TCP client, allowing bidirectional communication with an Empatica E4.
Preprocessing raw data from Empatica E4 wristband
For preprocessing empatica e4 data for analysis
Evaluation of physiological signals collected from the E4 wristband to detect the stress-levels in students while performing arithmetic tasks.
Charts for physiological data gathered from Empatica E4 wristband
User Stress Levels Detection by Physiological Sensing and Deep Learning
Client to download information of the E4 Connect platform.
Add a description, image, and links to the empatica-e4 topic page so that developers can more easily learn about it.
To associate your repository with the empatica-e4 topic, visit your repo's landing page and select "manage topics."