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Aidin Delnavaz

Researcher at École de technologie supérieure

Publications -  24
Citations -  294

Aidin Delnavaz is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Energy harvesting & Finite element method. The author has an hindex of 10, co-authored 23 publications receiving 257 citations. Previous affiliations of Aidin Delnavaz include Sharif University of Technology.

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Journal ArticleDOI

Flexible piezoelectric energy harvesting from jaw movements

TL;DR: In this paper, a proof-of-concept for a head-mounted device with a PFC chin strap capable of harvesting energy from jaw movements is presented. But despite their excellent potential for energy harvesting, very few PFC mechanisms have been developed to capture the human body power and convert it into an electric current to power wearable electronic devices.
Proceedings ArticleDOI

Electromagnetic micro-power generator for energy harvesting from breathing

TL;DR: An electromagnetic energy harvesting mechanism is presented to convert the breath pressure into electrical voltage that has a general application in providing energy for portable or wearable electronic devices and a particular application in chemical respirators to power the cartridge end of service life indicator systems.
Journal ArticleDOI

Nonlinear vibrations of microcantilevers subjected to tip-sample interactions: Theory and experiment

TL;DR: In this article, a nonlinear integropartial equation of microcantilever vibration subject to the tip-sample interaction is derived and multiple time scales method is utilized to estimate the tip amplitude while it is vibrating near the sample.
Journal ArticleDOI

Linear and non-linear vibration and frequency response analyses of microcantilevers subjected to tip–sample interaction

TL;DR: In this article, a non-linear distributed-parameters modeling of a microcantilever beam under the influence of a nanoparticle sample is studied in order to provide an understanding of nonlinear characteristics of combined MC-particle system, a geometrical function is wisely chosen in such a way that natural frequency of the linear model exactly equates with that of a nonlinear model.
Journal ArticleDOI

Validation and Benchmarking of a Wearable EEG Acquisition Platform for Real-World Applications

TL;DR: Auditory steady-state responses acquisition results validate CochlEEG's capability in recording EEG with a signal quality comparable to commercial mobile or research EEG acquisition devices and demonstrate its potential for brain–computer interface applications and electrophysiological research applications requiring higher temporal resolution.