ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

Existing datasets containing physiological data are mostly acquired at rest or
in controlled scenarios. As a result, algorithms developed using such data may
not perform as well as with biosignals acquired in dynamic and uncontrolled
environments. ScientiSST MOVE is a multimodal dataset recording natural
everyday activities, including lifting a chair, greeting, gesticulating,
walking and running. Data was collected using three wearable devices, namely:
a chestband, an armband, and the Empatica E4 wristband. This setup enabled
recording of multi-channel Electrodermal Activity (EDA), Photoplethysmography
(PPG) and Electrocardiography (ECG). Additionally, recordings were also made
for bicep Electromyography (EMG), wrist temperature and chest and wrist
actigraphy. A total of 17 healthy volunteers participated in the experimental
data acquisition sessions, resulting in an average of 37 useful minutes of
synchronised data from all sensors. ScientISST MOVE has been primarily
designed to study the effect of daily activities on physiological data
acquisition. Having been acquired with multiple wearable devices, some of
which measuring the same modalities, it can also be useful in signal quality
comparison studies.