Sizhen Bian

According to our database, Sizhen Bian authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field.

Sungho Suh, Vítor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Joze M. Rozanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz

IEEE Internet Things J., April, 2024

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey.

Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing.

Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz

Frontiers Comput. Sci., 2024

On-Device Training Empowered Transfer Learning For Human Activity Recognition.

Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno

CoRR, 2024

Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition.

Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz

CoRR, 2024

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets.

Mengxi Liu, Sizhen Bian, Bo Zhou, Paul Lukowicz

Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface.

Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno

Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics.

Victor Luder, Sizhen Bian, Michele Magno

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware.

Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.

Pietro Bonazzi, Yawei Li, Sizhen Bian, Michele Magno

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments.

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.

Pietro Bonazzi, Julian Moosmann, Yawei Li, Sizhen Bian, Michele Magno

CoRR, 2023

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking.

Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno

CoRR, 2023

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO.

Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno

CoRR, 2023

3D Hand Tracking with Induced Magnetic Field.

Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Fully Automatic Gym Exercises Recording: An IoT Solution.

Sizhen Bian, Alexander Rupp, Michele Magno

Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras.

Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno

Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition.

Sizhen Bian, Michele Magno

Proceedings of the 2023 International Symposium on Wearable Computers, 2023

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.

Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation.

Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

iEat: Human-food interaction with bio-impedance sensing.

Mengxi Liu, Yu Zhang, Bo Zhou, Sizhen Bian, Agnes Grünerbl, Paul Lukowicz

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey.

Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz

Sensors, 2022

The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition.

Sizhen Bian, Vítor Fortes Rey, Siyu Yuan, Paul Lukowicz

CoRR, 2022

Magnetic Field Based Hand Tracking.

Sizhen Bian, Kexuan Guo, Mengxi Liu, Bo Zhou, Paul Lukowicz

CoRR, 2022

Non-contact, real-time eye blink detection with capacitive sensing.

Mengxi Liu, Sizhen Bian, Paul Lukowicz

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection.

Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices.

Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno

Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

2021

Induced Magnetic Field-Based Indoor Positioning System for Underwater Environments.

Sizhen Bian, Peter Hevesi, Leif Christensen, Paul Lukowicz

Sensors, 2021

Using Privacy Respecting Sound Analysis to Improve Bluetooth Based Proximity Detection for COVID-19 Exposure Tracing and Social Distancing.

Gernot Bahle, Vítor Fortes Rey, Sizhen Bian, Hymalai Bello, Paul Lukowicz

Sensors, 2021

Capacitive Sensing Based On-board Hand Gesture Recognition with TinyML.

Sizhen Bian, Paul Lukowicz

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

A Systematic Study of the Influence of Various User Specific and Environmental Factors on Wearable Human Body Capacitance Sensing.

Sizhen Bian, Paul Lukowicz

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2021

Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device.

Sizhen Bian, Siyu Yuan, Vítor Fortes Rey, Paul Lukowicz

Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021

2020

Social Distance Monitor with a Wearable Magnetic Field Proximity Sensor.

Sizhen Bian, Bo Zhou, Paul Lukowicz

Sensors, 2020

Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing.

Oliver Amft, Luis Ignacio Lopera Gonzalez, Paul Lukowicz, Sizhen Bian, Paul Burggraf

IEEE Pervasive Comput., 2020

Finger Air Writing - Movement Reconstruction with Low-cost IMU Sensor.

Junaid Younas, Hector Margarito, Sizhen Bian, Paul Lukowicz

Proceedings of the MobiQuitous '20: Computing, 2020

A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing.

Sizhen Bian, Bo Zhou, Hymalai Bello, Paul Lukowicz

Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

2019

Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition.

Sizhen Bian, Vitor F. Rey, Junaid Younas, Paul Lukowicz

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting.

Sizhen Bian, Vitor F. Rey, Peter Hevesi, Paul Lukowicz

Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

2018

Preparation for Future Learning: Augmented-Reality Enhanced Interactive Science Labs.

Orkhan Amiraslanov, Hamraz Javaheri, Sizhen Bian, Paul Lukowicz

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018