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Human Activity Recording Based on Skin-Strain-Actuated Microfluidic Pumping in Asymmetrically Designed Micro-Channels
Caroline Barbar Askar1, Nick Cmager1, Rana Altay1
1Department of Bioengineering, Santa Clara University, Santa Clara, CA 95053, USA.
Sensors (Basel, Switzerland)
|July 13, 2024
Summary
This study introduces a novel skin-strain-actuated microfluidic pump (SAMP) for passive, image-based wearable sensing. The device effectively records human activity in the fluidic domain without skin electronics.
Area of Science:
- Wearable technology
- Microfluidics
- Biomedical engineering
Background:
- Passive, image-based wearable sensors offer simplified data readout and avoid skin electronics.
- Existing methods for recording human activity via wearables can be complex or require invasive components.
Purpose of the Study:
- To develop and validate a skin-strain-actuated microfluidic pump (SAMP) for passive human activity monitoring.
- To establish an analytical model for the SAMP's operation as a wearable device.
- To demonstrate the SAMP's ability to record and quantify human movements.
Main Methods:
- Fabrication of the SAMP using soft lithography with polydimethylsiloxane (PDMS).
- Development of an analytical model to describe the SAMP's operational mechanism.
- Experimental validation through benchtop tests and human subject trials with the device mounted on skin.
Main Results:
- Analytical predictions and experimental results for the SAMP showed good agreement.
- The SAMP successfully recorded human activity over hundreds of cycles, indicated by a stable liquid meniscus.
- Proof-of-concept experiments demonstrated quantification of single wrist movements and differentiation of shoulder activities.
Conclusions:
- The skin-strain-actuated microfluidic pump (SAMP) is a viable technology for passive, image-based wearable sensing.
- The SAMP can reliably record and differentiate human physical activities without requiring on-skin electronics.
- This microfluidic approach offers a promising alternative for wearable human activity monitoring systems.

