Victor Javier Kartsch
Orcid: 0000-0003-3325-6347
According to our database1,
Victor Javier Kartsch
authored at least 35 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Corrections to "a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing".
IEEE Robotics Autom. Lett., October, 2024
Real-Time Motor Unit Tracking From sEMG Signals With Adaptive ICA on a Parallel Ultra-Low Power Processor.
IEEE Trans. Biomed. Circuits Syst., August, 2024
IEEE Robotics Autom. Lett., February, 2024
CoRR, 2024
Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces.
CoRR, 2024
GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones.
CoRR, 2024
GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG.
CoRR, 2024
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance.
CoRR, 2024
2023
A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring.
CoRR, 2023
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Efficient Low-Frequency SSVEP Detection with Wearable EEG Using Normalized Canonical Correlation Analysis.
Sensors, 2022
BioWolf16: a 16-channel, 24-bit, 4kSPS Ultra-Low Power Platform for Wearable Clinical-grade Bio-potential Parallel Processing and Streaming.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
2021
UStEMG: an Ultrasound Transparent Tattoo-based sEMG System for Unobtrusive Parallel Acquisitions of Muscle Electro-mechanics.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Efficient Artifact Removal from Low-Density Wearable EEG using Artifacts Subspace Reconstruction.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021
2020
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor.
IEEE Trans. Biomed. Circuits Syst., 2020
Using Low-Power, Low-Cost IoT Processors in Clinical Biosignal Research: an In-depth Feasibility Check.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
BioWolf: A Sub-10-mW 8-Channel Advanced Brain-Computer Interface Platform With a Nine-Core Processor and BLE Connectivity.
IEEE Trans. Biomed. Circuits Syst., 2019
Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing.
IEEE Trans. Biomed. Circuits Syst., 2019
A Minimally Invasive Low-Power Platform for Real-Time Brain Computer Interaction Based on Canonical Correlation Analysis.
IEEE Internet Things J., 2019
An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor.
Proceedings of the IEEE Sensors Applications Symposium, 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2018
A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems.
Inf. Fusion, 2018
Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
A Wearable Device for Brain-Machine Interaction with Augmented Reality Head-Mounted Display.
Proceedings of the 13th EAI International Conference on Body Area Networks, 2018
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2017
Proceedings of the New Generation of CAS, 2017
A wearable EEG-based drowsiness detection system with blink duration and alpha waves analysis.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017