Are you ready to FLIRT with your wearable data?

Multimodal human activity recognition using wrist-worn wearable sensors.

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.

Custom client for the E4 wristband from Empatica

Estimation of resting heart rate.

Python wrapper for Empatica TCP client, allowing bidirectional communication with an Empatica E4.

A multimodal physiological and affective data hub affectivecomputing

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.

Visualize your raw data from .avro files for the EmbracePlus device from Empatica

Charts for physiological data gathered from Empatica E4 wristband