Search Results - "Charbonnier, Sylvie"

EMG feature evaluation for improving myoelectric pattern recognition robustness by Phinyomark, Angkoon, Quaine, Franck, Charbonnier, Sylvie, Serviere, Christine, Tarpin-Bernard, Franck, Laurillau, Yann

“…► The medium-term robustness of EMG signals for prosthetic control is investigated. ► The effect of 50 EMG features has been extensively examined. ► A single…”
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Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications by Vila, Gaël, Godin, Christelle, Charbonnier, Sylvie, Campagne, Aurélie

“…Wearable cardiac sensors pave the way for advanced cardiac monitoring applications based on heart rate variability (HRV). In real-life settings, heart rate…”
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Feature extraction of the first difference of EMG time series for EMG pattern recognition by Phinyomark, Angkoon, Quaine, Franck, Charbonnier, Sylvie, Serviere, Christine, Tarpin-Bernard, Franck, Laurillau, Yann

“…Highlights • The stationarity of surface EMG signals during upper-limb motions is investigated. • The differencing technique can transform EMG signals to…”
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A Multi-Turbine Approach for Improving Performance of Wind Turbine Power-Based Fault Detection Methods by Aziz, Usama, Charbonnier, Sylvie, Berenguer, Christophe, Lebranchu, Alexis, Prevost, Frederic

“…The relationship between wind speed and the power produced by a wind turbine is expressed by its power curve. Power curves are commonly used to monitor the…”
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Efficient Workload Classification based on Ignored Auditory Probes: A Proof of Concept by Roy, Raphaëlle N, Bonnet, Stéphane, Charbonnier, Sylvie, Campagne, Aurélie

“…Mental workload is a mental state that is currently one of the main research focuses in neuroergonomics. It can notably be estimated using measurements in…”
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Real-Time Monitoring of Passenger’s Psychological Stress by Vila, Gaël, Godin, Christelle, Sakri, Oumayma, Labyt, Etienne, Vidal, Audrey, Charbonnier, Sylvie, Ollander, Simon, Campagne, Aurélie

“…This article addresses the question of passengers’ experience through different transport modes. It presents the main results of a pilot study, for which…”
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On-Line Detection of Drowsiness Using Brain and Visual Information by Picot, A., Charbonnier, S., Caplier, A.

“…A drowsiness detection system using both brain and visual activity is presented in this paper. The brain activity is monitored using a single…”
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Mental fatigue and working memory load estimation: Interaction and implications for EEG-based passive BCI by Roy, Raphaelle N., Bonnet, Stephane, Charbonnier, Sylvie, Campagne, Aurelie

“…Current mental state monitoring systems, a.k.a. passive brain-computer interfaces (pBCI), allow one to perform a real-time assessment of an operator's…”
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Critical comparison of power-based wind turbine fault-detection methods using a realistic framework for SCADA data simulation by Aziz, Usama, Charbonnier, Sylvie, Bérenguer, Christophe, Lebranchu, Alexis, Prevost, Frederic

“…Numerous power-based wind turbine (WT) fault-detection methods using supervisory control and data acquisition (SCADA) data are presented in the literature…”
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EEG index for control operators’ mental fatigue monitoring using interactions between brain regions by Charbonnier, Sylvie, Roy, Raphaelle N., Bonnet, Stephane, Campagne, Aurelie

“…•An on-line index of operators’ mental fatigue is proposed.•It uses EEG signals from 6 regions of interest (ROIs).•It measures the changes in the EEG spatial…”
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A multi-turbine approach for improving performance of wind turbine powerbased fault detection methods by Aziz, Usama, Charbonnier, Sylvie, Bérenguer, Christophe, Lebranchu, Alexis, Prevost, Frederic

“…The relationship between wind speed and the power produced by a wind turbine is expressed by its power curve. Power curves are commonly used to monitor the…”
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A combined mono- and multi-turbine approach for fault indicator synthesis and wind turbine monitoring using SCADA data by Lebranchu, Alexis, Charbonnier, Sylvie, Bérenguer, Christophe, Prévost, Frédéric

“…The monitoring of wind turbines using SCADA data has received lately a growing interest from the fault diagnosis community because of the very low cost of…”
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Fault template extraction to assist operators during industrial alarm floods by Charbonnier, Sylvie, Bouchair, Nabil, Gayet, Philippe

“…In industrial systems, a fault occurring on a process can create an alarm flood, a succession of alarms raised at a rate per minute so high it overwhelms the…”
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Drowsiness detection based on visual signs: blinking analysis based on high frame rate video by Picot, Antoine, Charbonnier, Sylvie, Caplier, Alice

“…In this paper, an algorithm for drivers' drowsiness detection based on visual signs that can be extracted from the analysis of a high frame rate video is…”
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Damage due to start-stop cycles of turbine runners under high-cycle fatigue by Savin, O., Baroth, J., Badina, C., Charbonnier, S., Bérenguer, C.

“…This study presents a strategy to estimate the extra cost due to start-up and shut-down of hydro turbines under high-cycle fatigue. The principle is to compare…”
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A weighted dissimilarity index to isolate faults during alarm floods by Charbonnier, S., Bouchair, N., Gayet, P.

“…A fault-isolation method based on pattern matching using the alarm lists raised by the SCADA system during an alarm flood is proposed. A training set composed…”
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Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms by Roy, Raphaëlle N., Charbonnier, Sylvie, Bonnet, Stéphane

“…Due to its major safety applications, including safe driving, mental fatigue estimation is a rapidly growing research topic in the engineering field. Most…”
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Energy Efficient Channel State Classification for Lifetime Enhancement of LPWA Networks by Uy, Chhayarith Heng, Bernier, Carolynn, Charbonnier, Sylvie

“…Current Low Power Wide Area Network (LPWAN) wireless transceivers are designed, or configured at deployment time, to function assuming a worse-case application…”
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A self-tuning adaptive trend extraction method for process monitoring and diagnosis by Charbonnier, S., Portet, F.

“…► We develop a method to extract on-line qualitative trends on signals. ► The method is self tuned and its tuning parameters are adapted on-line in function of…”
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A feasibility study on the use of anthropometric variables to make muscle–computer interface more practical by Phinyomark, Angkoon, Quaine, Franck, Charbonnier, Sylvie, Serviere, Christine, Tarpin-Bernard, Franck, Laurillau, Yann

“…High classification accuracy has been achieved for muscle–computer interfaces (MCIs) based on surface electromyography (EMG) recognition in many recent works…”
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