Electronic Skin: Sensors and Systems

Ali Ibrahim received the M.S. degree in Industrial Control from the Doctoral School of Sciences and Technologies, Lebanese University, in 2009, and the Ph.D. degree in electronic and computer engineering and robotics and telecommunications from the University of Genoa-Italy in 2016. From 2009 to 2013, he was a Project Designer in electronics in Beirut. He is currently an assistant professor at the Lebanese International University, and an associate researcher with the Department of Electric, Electronic, Telecommunication Engineering and Naval Architecture, University of Genoa. His research interests involve embedded electronic systems, FPGA implementation, digital data processing, interface electronics for electronic skin systems, embedded machine learning, approximate computing, and techniques and methods for energy efficient embedded computing. Maurizio Valle (MV) received the M.S. degree in Electronic Engineering in 1985 and the Ph.D. degree in Electronics and Computer Science in 1990 from the University of Genova, Italy. In 1992 he joined the University of Genova, first as an assistant and in 2007 as an associate professor. From December 2019, MV is full professor at the Department of Electrical, Electronic and Telecommunications Engineering and Naval Architecture, University of Genova; MV leads the Connected Objects, Smart Materials, Integrated Circuits – COSMIC laboratory. MV has been and is in charge of many research contracts and projects funded at local, national and European levels and by Italian and foreign companies. Professor Valle is co-author of more than 200 papers on international scientific journals and conference proceedings and of the book: Robotic Tactile Sensing Technologies and System, Springer Science+Business Media, Dordrecht, pp. 1–248, 2013 (ISBN: 978-94007-0578-4). His research interests include electronic and microelectronic systems, material integrated sensing systems, tactile sensors and electronic-skin systems. He is IEEE senior member and member of the IEEE CAS Society.

Preface; 1. Introduction; 2. Artificial Tactile Sensing and electronic-Skin Technologies; 3. Tactile sensors for smart human-object interactions: devices and technologies; 4. Optical-based technologies for artificial soft tactile sensing; 5. Physical contact localization with artificial intelligence and large-area Fiber Bragg Grating (FBG) tactile sensors for collaborative biorobotics; 6. Efficient Algorithms for Embedded Tactile Data Processing; 7. Approximate arithmetic circuits for energy efficient data processing in electronic skin; 8. Optical Links for Sensor Data Communication Systems; 9. Artificial Skin and Electrotactile Stimulation for Advanced Tactile Feedback in Myoelectric Prostheses; Index.