[Announcements] CfP: Workshop and Challenge on Detection of Stress and Mental Health Using Wearable Sensors

[Akane Sano]

*The IEEE EMBC 2022 **Workshop and Challenge on Detection of Stress and
Mental Health Using Wearable Sensors *


*July 11, 2022 in Glasgow, Scotland, UK*



*https://compwell.rice.edu/workshops/embc2022
<https://compwell.rice.edu/workshops/embc2022>*


*Mental health and wellbeing* are one of the most challenging issues in
modern society.

For example, moderate stress can help a person in many beneficial ways to
confront a challenge.

On the other hand, excessive stress, a common phenomenon in our society,
can cause overall negative health

and wellbeing impact, such as increasing susceptibility to infection and
illness, affecting a diverse range of physical,

psychological and behavioral conditions (i.e., anxiety, depression, sleep
disorders, or decreasing job productivity).

Furthermore, mental disorders such as depression and schizophrenia, if not
monitored and treated timely, can lead to further

degradation of the person’s mental health and wellbeing. The ability to
measure stress levels or mental health could enable

better self-management of one’s behavioral choices in ways that might be
intervened timely.

While various methods have been proposed for automatic stress or mental
health detection using wearable or mobile phone data,
it is far from solved. Besides, it is an understudied research question of
reproducibility, due to the lack of a proper publicly accessible dataset
and baselines.
This workshop introduces to the research community the publicly accessible
datasets with both anonymized hand-crafted features and deep features
for in the wild stress and mental health sensing challenges, including:


*The goal of this workshop: *is to inspire ideas and collaborations, raise
awareness of reproducibility problems in modeling wearable data in the
wild,
and drive the research frontier. Publicly sharing the datasets, including
both features and baselines, will accelerate research activity such as
multimodal
wearable data processing and modeling, handling missing data, and
personalization.

We will accept *(1) research papers about stress and mental health
detection/prediction using wearable sensors *
*or technical solutions using our open stress datasets and (2) challenge
papers in which authors described a specific challenge *
*to be pitched and discussed at the workshop*.

Selected challenge participants and paper authors are invited to present
their work at the workshop without workshop registration fee.


*Important Dates*:
Training data release: The beginning of May, 2022
Testing phase begins: Friday May 13, 2022
Competition signup ends: Wednesday, June 1, 2022
Competition ends: Thursday June 30, 2022
Paper/technical report submission deadline: Thursday June 30, 2022
Workshop date: Monday July 11, 2022

*Contact**: *compwell.workshop at gmail.com

Akane Sano       Akane.Sano at rice.edu
Assistant Professor, Computational Wellbeing Group,
Rice University Department of Electrical and Computer Engineering
6100 Main Street, Houston, TX, 77005, Duncan Hall 2025, MS 380
Phone: +1-713-348-3821
https://compwell.rice.edu/
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