Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems

05/20/2021
by   Ethan Lim Ding Feng, et al.
0

With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore, takes initiatives to propose a social behaviour understanding framework with the use of deep neural networks for social and behavioural analysis. The integration of information fusion, person and object detection, social signal understanding, behaviour understanding, and context understanding plays a harmonious role to elicit social behaviours. Three systems, including depression detection, activity recognition and cognitive impairment screening, are developed to evidently demonstrate the importance of social intelligence. The study considerably contributes to the cumulative development of social computing and health informatics. It also provides a number of implications for academic bodies, healthcare practitioners, and developers of socially intelligent agents.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/20/2021

Federated Artificial Intelligence for Unified Credit Assessment

With the rapid adoption of Internet technologies, digital footprints hav...
research
10/20/2022

From Modelling to Understanding Children's Behaviour in the Context of Robotics and Social Artificial Intelligence

Understanding and modelling children's cognitive processes and their beh...
research
11/21/2022

Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civili...
research
10/21/2020

Artificial Intelligence in Weed Recognition Tasks

Over the past decade, unprecedented progress in the development of neura...
research
02/21/2021

IoT-Enabled Social Relationships Meet Artificial Social Intelligence

With the recent advances of the Internet of Things, and the increasing a...
research
02/03/2022

Reward is not enough: can we liberate AI from the reinforcement learning paradigm?

I present arguments against the hypothesis put forward by Silver, Singh,...
research
02/03/2012

On the influence of intelligence in (social) intelligence testing environments

This paper analyses the influence of including agents of different degre...

Please sign up or login with your details

Forgot password? Click here to reset