Flexible multimodal tactile sensing system for object identification

Jonathan Engel*, Nannan Chen, Craig Tucker, Chang Liu, Sung Hoon Kim, Douglas Jones

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations


This work presents results towards realizing a flexible multimodal tactile sensing system for object identification. Using polymer substrates and simple fabrication, robust devices are made that can identify objects based on texture, temperature, as well as material properties such as hardness and thermal conductivity. These capabilities are possible using signal processing techniques and physical models along with individual sensing structures inspired by the specialization found in biological skin. These structures are used to sense various object parameters, and array-wide processing to identify texture using a Maximum Likelihood decision rule. 80% texture classification is achieved. In blind object identification tests, over 90% correct identification was achieved by measurement of material properties.

Original languageEnglish (US)
Title of host publication2006 5th IEEE Conference on Sensors
Number of pages4
StatePublished - Dec 1 2006
Event2006 5th IEEE Conference on Sensors - Daegu, Korea, Republic of
Duration: Oct 22 2006Oct 25 2006

Publication series

NameProceedings of IEEE Sensors


Other2006 5th IEEE Conference on Sensors
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Flexible multimodal tactile sensing system for object identification'. Together they form a unique fingerprint.

Cite this