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Sizhen Bian
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2020 – today
- 2024
- [j9]Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz:
Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing. Frontiers Comput. Sci. 6 (2024) - [j8]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 4:1-4:49 (2024) - [j7]Sungho Suh, Vítor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Joze M. Rozanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz:
Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. IEEE Internet Things J. 11(7): 11554-11565 (2024) - [c23]Pietro Bonazzi, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. AICAS 2024: 517-521 - [c22]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. CVPR Workshops 2024: 5684-5692 - [c21]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. I2MTC 2024: 1-6 - [c20]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. ISWC 2024: 9-16 - [c19]Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz:
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. ISWC 2024: 89-95 - [i18]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. CoRR abs/2401.06000 (2024) - [i17]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics. CoRR abs/2403.07915 (2024) - [i16]Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz:
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. CoRR abs/2406.01646 (2024) - [i15]Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz:
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. CoRR abs/2406.11914 (2024) - [i14]Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno:
On-Device Training Empowered Transfer Learning For Human Activity Recognition. CoRR abs/2407.03644 (2024) - [i13]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. CoRR abs/2409.00083 (2024) - 2023
- [j6]Bo Zhou, Daniel Geissler, Marc Faulhaber, Clara Elisabeth Gleiss, Esther Friederike Zahn, Lala Shakti Swarup Ray, David Gamarra, Vítor Fortes Rey, Sungho Suh, Sizhen Bian, Gesche Joost, Paul Lukowicz:
MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 41:1-41:40 (2023) - [c18]Mengxi Liu, Yu Zhang, Bo Zhou, Sizhen Bian, Agnes Grünerbl, Paul Lukowicz:
iEat: Human-food interaction with bio-impedance sensing. UbiComp/ISWC Adjunct 2023: 207 - [c17]Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno:
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. SENSORS 2023: 1-4 - [c16]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. ISCAS 2023: 1-5 - [c15]Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition. ISWC 2023: 82-86 - [c14]Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno:
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. IWASI 2023: 287-292 - [c13]Sizhen Bian, Alexander Rupp, Michele Magno:
Fully Automatic Gym Exercises Recording: An IoT Solution. MetroInd4.0&IoT 2023: 310-314 - [c12]Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo:
3D Hand Tracking with Induced Magnetic Field. PerCom Workshops 2023: 589-594 - [i12]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. CoRR abs/2302.07957 (2023) - [i11]Sizhen Bian, Alexander Rupp, Michele Magno:
Fully Automatic Gym Exercises Recording: An IoT Solution. CoRR abs/2305.17594 (2023) - [i10]Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno:
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. CoRR abs/2305.18371 (2023) - [i9]Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno:
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. CoRR abs/2307.07813 (2023) - [i8]Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition. CoRR abs/2308.00787 (2023) - [i7]Sungho Suh, Vítor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Joze M. Rozanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz:
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field. CoRR abs/2308.03514 (2023) - [i6]Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno:
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. CoRR abs/2311.01057 (2023) - [i5]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. CoRR abs/2312.00425 (2023) - [i4]Pietro Bonazzi, Julian Moosmann, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. CoRR abs/2312.09854 (2023) - 2022
- [j5]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz:
The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey. Sensors 22(12): 4596 (2022) - [c11]Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno:
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. IGSC 2022: 1-6 - [c10]Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. UbiComp/ISWC Adjunct 2022: 78-80 - [c9]Mengxi Liu, Sizhen Bian, Paul Lukowicz:
Non-contact, real-time eye blink detection with capacitive sensing. ISWC 2022: 49-53 - [i3]Sizhen Bian, Kexuan Guo, Mengxi Liu, Bo Zhou, Paul Lukowicz:
Magnetic Field Based Hand Tracking. CoRR abs/2207.08464 (2022) - [i2]Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. CoRR abs/2210.06285 (2022) - [i1]Sizhen Bian, Vítor Fortes Rey, Siyu Yuan, Paul Lukowicz:
The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition. CoRR abs/2210.14794 (2022) - 2021
- [j4]Sizhen Bian, Peter Hevesi, Leif Christensen, Paul Lukowicz:
Induced Magnetic Field-Based Indoor Positioning System for Underwater Environments. Sensors 21(6): 2218 (2021) - [j3]Gernot Bahle, Vítor Fortes Rey, Sizhen Bian, Hymalai Bello, Paul Lukowicz:
Using Privacy Respecting Sound Analysis to Improve Bluetooth Based Proximity Detection for COVID-19 Exposure Tracing and Social Distancing. Sensors 21(16): 5604 (2021) - [c8]Sizhen Bian, Siyu Yuan, Vítor Fortes Rey, Paul Lukowicz:
Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device. ABC 2021: 81-94 - [c7]Sizhen Bian, Paul Lukowicz:
A Systematic Study of the Influence of Various User Specific and Environmental Factors on Wearable Human Body Capacitance Sensing. BODYNETS 2021: 247-274 - [c6]Sizhen Bian, Paul Lukowicz:
Capacitive Sensing Based On-board Hand Gesture Recognition with TinyML. UbiComp/ISWC Adjunct 2021: 4-5 - 2020
- [j2]Oliver Amft, Luis Ignacio Lopera Gonzalez, Paul Lukowicz, Sizhen Bian, Paul Burggraf:
Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing. IEEE Pervasive Comput. 19(4): 53-60 (2020) - [j1]Sizhen Bian, Bo Zhou, Paul Lukowicz:
Social Distance Monitor with a Wearable Magnetic Field Proximity Sensor. Sensors 20(18): 5101 (2020) - [c5]Sizhen Bian, Bo Zhou, Hymalai Bello, Paul Lukowicz:
A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing. ISWC 2020: 22-26 - [c4]Junaid Younas, Hector Margarito, Sizhen Bian, Paul Lukowicz:
Finger Air Writing - Movement Reconstruction with Low-cost IMU Sensor. MobiQuitous 2020: 69-75
2010 – 2019
- 2019
- [c3]Sizhen Bian, Vitor F. Rey, Peter Hevesi, Paul Lukowicz:
Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting. PerCom 2019: 1-10 - [c2]Sizhen Bian, Vitor F. Rey, Junaid Younas, Paul Lukowicz:
Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition. PerCom Workshops 2019: 261-266 - 2018
- [c1]Orkhan Amiraslanov, Hamraz Javaheri, Sizhen Bian, Paul Lukowicz:
Preparation for Future Learning: Augmented-Reality Enhanced Interactive Science Labs. UbiComp/ISWC Adjunct 2018: 331-334
Coauthor Index
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last updated on 2025-01-09 13:10 CET by the dblp team
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