All students must validate 30 ECTS per semester.We offer two speciality tracks:

Track 1: Vision and Applications
The first track focuses on various applications of computer vision: biomedical applications, people detection, object tracking, computational photography.

Track 2: Vision and devices
The second track focuses on devices to capture images (intelligent sensors, medical imaging systems) and to visualise and interact with them (augmented reality)




Course name: Intelligent sensors Credits: 3

  • Class type: lecture/practical
  • Hours per week: 2/0
  • Type of the exam: oral exam


Main types of intelligent sensors, criteria of intelligence. Architectures. Main technologies, CMOS/LSI, surface and bulk MEMS, application of glass and plastic materials. Typical electronic circuits, low-power low-noise preamplifiers, analog switches, RF communication circuits, E-class power amplifiers, low-power subthreshold circuits, sleep applications. Efficient inductive power links, two- and three-way channel communications. Coupled coils. Structures of implanted inductors, on-chip RF coils. Load-shift-key backward data transfer. Wireless strain, force, pressure and acceleration sensing. MEMS remote respiratory flow sensors. 3D tactile microsensor and data evaluation. Cantilever and SAW applications. Integrated multi-site microarray potentiostats. Ion-selective and CHEMFET sensors, micro hotplates for different specimens. Problems of selective gas sensing, E-nose experiments. Wearable sensing systems for blood pressure, ECG, PCG, arterial stiffness, pulse oximetry. Body sensor networks for health care, continuous monitoring by smart phone, Biological sensors. Advanced ultra low-power endoscopic sensors. On-chip implanted multi-site biological sensors. Bone and dental implanted sensors. Implanted multi-site neural sensors for high resolution measurement and RF transfer of actual potential. Bandwidth problems. Systems for checking the operation of different retina and cochlea implantations. Microsensors for glaucoma test. Home monitoring systems. Supervision of sleep using bed and floor pressure sensing elements. Remote sensors for supervision for living mode, motions, gait and irregular events, including fall detection. Intelligent sensor networks. Models for telemedicine networks. Identification systems and sensor integration for telemedicine. Smart wireless sensor nodes for structural health monitoring.

Required readings

S. Y. Yurish, M. T. S. T Gomez: Smart Sensors and MEMS, Kluwer Academic Publ., 2004

A. Hierlemann: Integrated Chemical Microsensor Systems in CMOS Technology, Springer, 2005

F. Hu, Q. Hao: Intelligent sensor networks, CRC Press, Taylor & Francis, 2013

6 selected copies from IEEE Sensors Journal and IEEE Trans. on Biomedical Circuits and Systems

Recommended reading

Papers from IEEE Sensors Journal and IEEE Trans. on Biomedical Engineering

  • Lecturer (name, position, degree): Prof. Dr. Ferenc Kovács, DSc

The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.