• Gengqian Yang

  • Theme:Digital Systems, Optimisation and Integration
  • Project:Non-contact driver attentiveness detection system
  • Supervisor: Benjamin Metcalfe
  • Industry Partner: Infineon Technologies AG
  • The Gorgon's Head - Bath University Logo


Gengqian received the Bachelor's degree in Telecommunication Engineering from Zhengzhou University, China, in 2019, the MSc degree with distinction in Robotics and Autonomous Systems from the University of Bath, UK, in 2020.During the final year, he went for a placement as a hardware engineer in a company. In his spare time, he enjoys movies, music, and hiking. Having a drink with several friends in a pub is also one of his favourites.

I joined the CDT with an interest of investigating the driver and user behaviour by developing the driver monitoring system. Hope my knowledge in electronics, AI and telecommunication can actually help us find a feasible approach to drive in a safer way.


  • I will be frightened by a spider rather than a dinosaur.
  • I like the smell of gasoline.
  • I do not enjoy hot water as a Chinese.
  • A dog was attracted by me then fell into the river while I was visiting Oxford.
  • I barely passed the IQ test when I was a child.

Non-contact driver attentiveness detection system

The primary objective of this Infineon Technologies AG sponsored project is the development of novel Radar based systems for detecting driver attentiveness via non-contact vital sign monitoring and gaze detection. For level 3 autonomous driving, the human must be attentive in order to take over from the autonomous systems in the vehicle if required. Recent research has shown that it is possible (in a lab setting) to measure vital signs such as heart rate, respiratory rate, blood pressure, and blood oxygenation using non-contact methods such as Radar. These vital signs can be combined (via sensor fusion methods) with movement detection to develop new models of driver attentiveness. For example, low variation in heart rate and a reduction in body temperature are good indicators of drowsiness.

Infineon Technologies AG are specialists in developing automotive Radar systems that are currently used predominantly for collision avoidance and external sensing. Gengqian's project represents an exciting opportunity to use this same low-cost automotive technology for driver attentiveness monitoring.

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