Neuromorphic capacitive tactile sensors inspired by slowly adaptive mechanoreceptors

Ella Janotte, Simeon Bamford, Ole Richter, Maurizio Valle, Chiara Bartolozzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
59 Downloads (Pure)


The sense of touch is essential in our everyday life as it allows us to interact with our environment. The same applies to robots and users of prostheses but requires sensing solutions that are power efficient and allow edge and embedded computation. In this paper, we present a capacitive, neuromorphic, event-driven, tactile sensor. The mixed-mode subthreshold circuit is implemented in 180nm technology and achieves a sensitivity of ≈ 30Hz/N in simulation with the SPICE simulation platform spectre.
Original languageEnglish
Title of host publication2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)
Number of pages5
ISBN (Print)978-1-6654-0106-7
Publication statusPublished - 22-Jun-2022
Event2022 20th IEEE Interregional NEWCAS Conference (NEWCAS) - Quebec City, QC, Canada
Duration: 19-Jun-202222-Jun-2022


Conference2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)


  • Adaptation models
  • Sensitivity
  • Power demand
  • Neuromorphics
  • Computational modeling
  • Force
  • Neurons

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