Anatomical Surface Sensor     



Anatomical Surface Sensor - overview

Wearable Nail Deformation Sensing for Behavioral and
Biomechanical Monitoring and Human-Computer Interaction
The dynamics of the human fingertip enable haptic sensing and the ability to manipulate objects and the environment. Here we describe a wearable strain sensor, associated electronics, and software to detect and interpret the kinematics of deformation in human fingernails. Differential forces exerted by fingertip pulp, rugged connections to the musculoskeletal system and physical contact with the free edge of the nail plate itself cause fingernail deformation. We quantify nail warpage on the order of microns in the longitudinal and lateral axes with a set of strain gauges attached to the nail. The wearable device transmits raw deformation data to an off-finger device for interpretation. Simple motions, gestures, finger-writing, grip strength, and activation time, as well as more complex idioms consisting of multiple grips, are identified and quantified. We demonstrate the use of this technology as a human-computer interface, clinical feature generator, and means to characterize workplace tasks.



[1] Katsuyuki Sakuma, Avner Abrami, Gaddi Blumrosen, Stanislav Lukashov, Rajeev Narayanan, Joseph W. Ligman, Vittorio Caggiano & Stephen J. Heisig. "Wearable Nail Deformation Sensing for Behavioral and Biomechanical Monitoring and Human Computer Interaction," Scientific Reports 8, Article number:18031 (2018).

[2] Katsuyuki Sakuma, Huan Hu, Stephen W. Bedell, Bucknell Webb, Steven Wright, Ken Latzko,Marlon Agno, John Knickerbocker. "Flexible Piezoresistive Sensors Fabricated by Spalling Technique," IEEE International Flexible Electronics Technology Conference (IFETC), 2018.

[3] Katsuyuki Sakuma, Bucknell Webb, Rajeev Narayanan, Avner Abrami, Jeff Rogers, John Knickerbocker, and Stephen J. Heisig, "A Wearable Fingernail Deformation Sensing System and Three-Dimensional Finite Element Model of Fingertip," IEEE 69th Electronic Components and Technology Conference (ECTC), pp. 270-276, 2019.

[4] Katsuyuki Sakuma, Huan Hu, Xiao Hu Liu, Jiamin Ni, Stephen W. Bedell, Bucknell Webb, Steven L. Wright, Paul Lauro, Ken Latzko, Marlon Agno, James Tornello, and John Knickerbocker, "CMOS-Compatible Wearable Sensors Fabricated Using Controlled Spalling," IEEE Sensors Journal, Vol. 19 (18), 2019.


[5] Katsuyuki Sakuma, Gaddi Blumrosen, John J. Rice, Jeff Rogers, John Knickerbocker, "Turning the Finger into a Writing Tool,"
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.