My research area is Wearable Sensing in Electronic-textile technology, where I focus on garment-integrated body sensing. I am interested in garment
integrated sensors that monitor the body movements, and in the detailed characterization and quantification of the errors experienced by the wearable sensor
from the garment movement. Because the error experienced by a garment integrated sensor does not depend only on the sensor accuracy but also on the garment
properties, my research starts from a detailed model and analysis of the physics and movement of the garment used, and extends to a detailed
characterization of the sensor integrated in it, followed by several testing methods in order to verify the correctness of my theoretical conclusions.
I work very close with the department of Apparel and Design at the University of Minnesota, where my advisor Dr. Dunne is also a faculty member. Such collaboration helps me to understand the best way to introduce new solutions in the E-textile area also from a fashion design perspective, for example by looking at the perceptibility of the wearer, as well as at comfort variables. Garment-integrated sensors may be among the most pervasively acceptable or comfortable sensors, yet they often experience the most noise due to comfort variables that may be directly at odds with variables that optimize sensor performance. Discovery of the noise variables of wearable sensor measurements is crucial to overcoming this obstacle. The error itself is influenced by the movement of the garment over the body surface, but may also be corrupted by other external factors, such as donning and doffing, that are independent from the garment properties. Perceptibility of the user is also a crucial aspect to consider, because for instance a user with an odd-looking, bulky, or burdensome device may compromise his daily life, degrading quality and therefore reliability of the data that for example are being collected for medical applications, such as body pressure monitoring or ECG signal analysis. My research results are not application specific, and I believe they have significant implications for algorithm design in wearable sensing.
My Student Grants/Activities:
Wearable Technology Lab - University of Minnesota
Some Interesting Papers
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