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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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. The project will address the following key objectives: Advanced Multi-modal Sensing: Integration of lightweight wearable sensors, including inertial measurement units (IMUs), force sensors, and electromyography
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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2023]. We propose to measure these movements in people's homes using devices developed in the laboratory. They are formed by a network of environmental non-intrusive sensors, such as electrostatic
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:2405.08111, 2024. https://doi.org/10.48550/arXiv.2405.08111 [4] R. Ketfi, Z. Al Masry, N. Zerhouni, C. Devalland, “MS-DQI: A methodology for data quality assessment in medical sensor networks with a case study
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: the production of functionalized nanofilament membranes, the production of bicomponent filaments (core–sheath or side-by-side structures, for example), the positioning and interconnection of sensors using inkjet
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optics, photonics, lasers, and atomic and molecular physics. The laboratory conducts both fundamental research and applied work (telecommunications, healthcare, sensors). It is equipped with advanced
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, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate
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to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will