AI × VR Psychotherapy System

contexts

A research team from a local university in Hong Kong collected information from over 1,000 Hong Kong respondents in 2022.
The results showed that 16.61 TP3T respondents had suffered from any of the mental illnesses such as depression, anxiety and panic disorder.
One in six respondents in Hong Kong is disturbed by mental illnessesThe

Conventional psychotherapy is divided into two categories: public and private. The high cost of the private sector and the long waiting time for treatment in the public sector have resulted in the majority of people with minor negative emotions choosing to deal with them on their own.

Our AI × VR psychotherapy system aims to provide more effective, timely and cost-efficient psychotherapy.
Treatment.

Features of AI × VR Psychotherapy System

Easy to use

Doctors, social workers, counselors can
The system is used to provide a system for people who have mild to moderate
Implementing Treatment for Groups with Symptoms of Mental Illness

Wide range of applications

Depression, Anxiety Groups
Autism Spectrum Disorder Group
As well as the general public who wish to relieve stress
All can benefit from AI × VR psychotherapy.

Immersive Experience

Users will be able to immerse themselves in the experience of
A wide variety of therapeutic scenarios

User physiological data monitoring

Heart rate variability (HRV), heart rate,
Respiratory rate, blood pressure, etc.

Reforming Traditional Psychotherapy

Compared to traditional psychotherapy, the
AI × VR psychotherapy system can provide
More innovative, effective and
Cost-effective treatments

AI-assisted therapy

Through artificial intelligence algorithms, our
AI × VR Psychotherapy System Recognizes
6 emotions: anger, disgust, fear,
Happy, Neutral and Sad

AI × VR Psychotherapy System
Frequently Asked Questions

The AI x VR Psychotherapy System is an innovative technology that helps people solve common psychological problems. Through the development of innovative Artificial Intelligence and Virtual Reality technologies to create virtual therapy scenarios and analyze the psychological symptoms of users, psychotherapy-related service providers are able to Provide professional AI x VR psychotherapy to groups with mild to moderate symptoms of mental illness, thereby reducing the cost of treatment for patients and the burden on organizations.

At present, there is an increasing demand for psychotherapy in the community, but there is a shortage of professional mental health support. On the one hand, patients have to wait for a long time for public psychiatric appointments and each meeting is short; on the other hand, private mental health services are expensive and unaffordable for ordinary families, and VR psychotherapy can effectively alleviate this problem. VR psychotherapy has been proven to have comparable therapeutic effects to traditional psychotherapy, and has been widely used in clinical groups overseas. It is worthwhile for us to devote more attention to the AI x VR psychotherapy system.

It contains therapy scenarios designed by professional psychologists, registered counsellors and clinical supervisors, local universities and (frontline) social service organizations. Depending on the user's situation, the AI x VR Psychotherapy System is able to provide different types and settings of therapy to the user. In addition, the system is equipped withAI voice emotion recognition function, Cantonese voice recognition function, and physiological data acquisition and analysis function.

This is an efficient multi-trait, multi-language fusion-based speech emotion recognition algorithm developed and trained by Meta Health. In this model, the accuracy of recognizing six emotions- anger, disgust, fear, happiness, neutrality and sadness-is evenly distributed, with an average accuracy of about 95.5%.

AI Voice Emotion Recognition has been applied to the therapy scene "Crying Child", which is designed for depression patients. When the user responds sympathetically to the crying child, the model can quickly and accurately identify the user's emotions from their voice, and then present the percentage of each emotion to assist professionals in analyzing the user's treatment.

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