The First Workshop on Multimodal Data for Mental Disorder Recognition


Mental disorder is a worldwide disease. According to the report of WHO in 2017, there were at least 300 million people suffering from mental disorder. The research on mental disorder recognition has great value for early mental disorder diagnosis, including depression, schizophrenia, bipolar disorder, etc. This is significant for protecting the mental health of the public.
In recent years, the superiority of machine learning in multimedia analysis has been validated in a wide range of real-world applications. With more and more attention paid to humanity’s mental health, many researchers try to use multimedia technologies to assist or replace the traditional face-to-face diagnosis manner. Recently, with the development of deep learning technology, there are many breakthroughs achieved in multimedia analysis, including audio, video, EEG, etc. These latest advances have offered enormous opportunities in improving mental disorder diagnosis.

Call for Papers

MDMDR will provide a forum for both multimedia researchers and doctors to discuss state-of-the-art technologies in mental disorder detection and diagnosis. We believe that the topic of MDMDR is interesting for both the multimedia and medical community to exchange ideas and discuss collaborations. The workshop will also attract attention from industry and help to realize the industrialization of the latest multimedia techniques in mental disorder diagnosis.
MDMDR concentrates on capturing the recent advances in multimedia technology (audio, video, image, text, EEG, gait, etc.) for mental disorder recognition.

The topics of this workshop include, but not limited to:

Unimodal- or multimodal-based depression, schizophrenia or bipolar disorder detection;
Deep learning based state-of-mind assessment;
Multimodal feature representation learning for mental disorder detection;
Portable or wearable devices for mental disorder detection or sentiment analysis;
Efficient or real-time assistant diagnosis systemsactions;
Deep neural network designing for accurate mental disorder recognition;
Effective data pre-processing, augmentation or fusion for multimodal data processing.


For submission policies, please refer to the Submission. Submission Wizard for MDMDR 2022 is available on Easychair Conference Management System here.

Important Dates

Submission of full papers (extended) June 6, 2022
ICPR Early registration ends (there is a single workshop-only registration fee) June 6, 2022
Notification of acceptance July 6, 2022
Camera-ready paper for ICPR adjunct proceedings (updated by ICPR organizers) September 6, 2022

Notice: Please check this site regularly for various updates.


✔ Dr. Richang Hong, Hefei University of Technology, China

✔ Dr. Marwa Mahmoud, University of Glasgow, UK

✔ Dr. Bin Hu, Lanzhou University, China

For any questions please contact the organizers via email: