Victor Javier Kartsch

Orcid: 0000-0003-3325-6347

According to our database1, Victor Javier Kartsch authored at least 36 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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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

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing.
IEEE Robotics Autom. Lett., February, 2024

Circuits and Systems for Embodied AI: Exploring uJ Multi-Modal Perception for Nano-UAVs on the Kraken Shield.
CoRR, 2024

An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities.
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

A High SNR, Low-latency Dry EMG Acquisition System for Unobtrusive HMI Devices.
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
Low-Power Human-Machine Interfaces: Analysis And Design.
PhD thesis, 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

Ultra Low-Power Drowsiness Detection System with BioWolf.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Towards a Wearable Interface for Food Quality Grading Through ERP Analysis.
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

A Wearable Device for Minimally-Invasive Behind-the-Ear EEG and Evoked Potentials.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Towards a Novel HMI Paradigm Based on Mixed EEG and Indoor Localization Platforms.
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


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