Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming
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Updated
Jun 5, 2024 - Kotlin
Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming
Are you ready to FLIRT with your wearable data?
E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.
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Evaluation of physiological signals collected from the E4 wristband to detect the stress-levels in students while performing arithmetic tasks.
Clinical tool for coregistration of frequency and duration based behavior, physiological signals, and video data. Session tracking features streamline multi-session clinical data recording.
Preprocessing raw data from Empatica E4 wristband
Pre-processing methods for mHealth and wearables data.
Python wrapper for Empatica TCP client, allowing bidirectional communication with an Empatica E4.
Charts for physiological data gathered from Empatica E4 wristband
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.
Spec. Project In Computer Engineering at Bogazici University
Estimation of resting heart rate.
Multimodal human activity recognition using wrist-worn wearable sensors.
Client to download information of the E4 Connect platform.
For preprocessing empatica e4 data for analysis
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.
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