Dr. Dimitropoulos and Dr. Daras are Frontiers Media Guest Editors of the Research Topic "Artificial Intelligence and Human Movement in Industries and Creation"

July 18, 2019, 9:13 a.m.

 

 

Recent advances in human motion sensing technologies and machine learning have enhanced the potential of Artificial Intelligence to improve our quality of life, increase productivity and reshape multiple industries, including cultural and creative industries. In order to achieve this goal, humans must remain at the centre of Artificial Intelligence and AI should learn from humans and collaborate effectively with them. Human-Centred Artificial Intelligence (HAI) is expected to create new opportunities and challenges in the future, which cannot yet be foreseen. Any type of machine or object (e.g. robots, computers, autonomous vehicles, drones, Internet of Things, etc.) will have different layers of perception and sophisticated HAI algorithms, that will detect human intentions and behaviours and learn continuously from them. Thus, every single intelligent machine and object will be able to capture human motions, analyse them, detect poses and recognise gestures and activities, including facial expressions and gaze, enabling natural collaboration with humans.

Contributions to the Research Topic are sought in all areas where humans interact with machines and objects through HAI, including but not limited to:

  • Effective industrial human-robot collaboration 
  • Human collaboration with creative robotics 
  • HAI for motion capturing 
  • Gesture and activity recognition 
  • Deep learning for pose estimation and scene understanding 
  • AI-based sensori-motor human learning 
  • Human modelling using HAI 
  • HAI and robotics in an ageing society for well-being 
  • Movement-based interaction with autonomous vehicles 
  • Movement-based interaction in Creative and Cultural Industries 
  • Emotion and engagement recognition for HAI 
  • Human-centred adaptation and personalisation of AI 
  • Augmented worker capabilities and machines 
  • Ethical, transparent and comprehensive HAI

For more information regarding this research topic, the participating journals and the relevant deadlines, visit the topic webpage.