Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field. - Bian, Sizhen; Rey, Vítor Fortes; Yuan, Siyu; Lukowicz, Paul (CoRR, 2025)

Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing. - Liu, Mengxi; Bian, Sizhen; Zhao, Zimin; Zhou, Bo; Lukowicz, Paul (Frontiers Comput. Sci., 2024)

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. - Bian, Sizhen; Liu, Mengxi; Zhou, Bo; Lukowicz, Paul; Magno, Michele (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. - Suh, Sungho; Rey, Vítor Fortes; Bian, Sizhen; Huang, Yu-Chi; Rozanec, Joze M.; Ghinani, Hooman Tavakoli; Zhou, Bo; Lukowicz, Paul (IEEE Internet Things J., 2024)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Bonazzi, Pietro; Li, Yawei; Bian, Sizhen; Magno, Michele (2024)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. - Bonazzi, Pietro; Bian, Sizhen; Lippolis, Giovanni; Li, Yawei; Sheik, Sadique; Magno, Michele (2024)

CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. - Luder, Victor; Bian, Sizhen; Magno, Michele (2024)

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. - Bian, Sizhen; Kang, Pixi; Moosmann, Julian; Liu, Mengxi; Bonazzi, Pietro; Rosipal, Roman; Magno, Michele (2024)

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. - Liu, Mengxi; Bian, Sizhen; Zhou, Bo; Lukowicz, Paul (2024)

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. - Bian, Sizhen; Liu, Mengxi; Zhou, Bo; Lukowicz, Paul; Magno, Michele (CoRR, 2024)

CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics. - Luder, Victor; Bian, Sizhen; Magno, Michele (CoRR, 2024)

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. - Liu, Mengxi; Bian, Sizhen; Zhou, Bo; Lukowicz, Paul (CoRR, 2024)

Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. - Liu, Mengxi; Geißler, Daniel; Nshimyimana, Dominique; Bian, Sizhen; Zhou, Bo; Lukowicz, Paul (CoRR, 2024)

On-Device Training Empowered Transfer Learning For Human Activity Recognition. - Kang, Pixi; Moosmann, Julian; Bian, Sizhen; Magno, Michele (CoRR, 2024)

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. - Bian, Sizhen; Kang, Pixi; Moosmann, Julian; Liu, Mengxi; Bonazzi, Pietro; Rosipal, Roman; Magno, Michele (CoRR, 2024)

MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. - Zhou, Bo; Geissler, Daniel; Faulhaber, Marc; Gleiss, Clara Elisabeth; Zahn, Esther Friederike; Ray, Lala Shakti Swarup; Gamarra, David; Rey, Vítor Fortes; Suh, Sungho; Bian, Sizhen; Joost, Gesche; Lukowicz, Paul (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

iEat: Human-food interaction with bio-impedance sensing. - Liu, Mengxi; Zhang, Yu; Zhou, Bo; Bian, Sizhen; Grünerbl, Agnes; Lukowicz, Paul (2023)

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. - Bonazzi, Pietro; Rüegg, Thomas; Bian, Sizhen; Li, Yawei; Magno, Michele (2023)

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. - Rutishauser, Georg; Hunziker, Robin; Mauro, Alfio Di; Bian, Sizhen; Benini, Luca; Magno, Michele (2023)

Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition. - Bian, Sizhen; Magno, Michele (2023)

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. - Bian, Sizhen; Schulthess, Lukas; Rutishauser, Georg; Mauro, Alfio Di; Benini, Luca; Magno, Michele (2023)

Fully Automatic Gym Exercises Recording: An IoT Solution. - Bian, Sizhen; Rupp, Alexander; Magno, Michele (2023)

3D Hand Tracking with Induced Magnetic Field. - Bian, Sizhen; Zhou, Bo; Lukowicz, Paul; Liu, Mengxi; Magno, Michele; Guo, Kexuan (2023)

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. - Rutishauser, Georg; Hunziker, Robin; Mauro, Alfio Di; Bian, Sizhen; Benini, Luca; Magno, Michele (CoRR, 2023)

Fully Automatic Gym Exercises Recording: An IoT Solution. - Bian, Sizhen; Rupp, Alexander; Magno, Michele (CoRR, 2023)

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. - Bian, Sizhen; Schulthess, Lukas; Rutishauser, Georg; Mauro, Alfio Di; Benini, Luca; Magno, Michele (CoRR, 2023)

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. - Bonazzi, Pietro; Rüegg, Thomas; Bian, Sizhen; Li, Yawei; Magno, Michele (CoRR, 2023)

Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition. - Bian, Sizhen; Magno, Michele (CoRR, 2023)

Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field. - Suh, Sungho; Rey, Vítor Fortes; Bian, Sizhen; Huang, Yu-Chi; Rozanec, Joze M.; Ghinani, Hooman Tavakoli; Zhou, Bo; Lukowicz, Paul (CoRR, 2023)

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. - Moosmann, Julian; Bonazzi, Pietro; Li, Yawei; Bian, Sizhen; Mayer, Philipp; Benini, Luca; Magno, Michele (CoRR, 2023)

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. - Bonazzi, Pietro; Bian, Sizhen; Lippolis, Giovanni; Li, Yawei; Sheik, Sadique; Magno, Michele (CoRR, 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Bonazzi, Pietro; Moosmann, Julian; Li, Yawei; Bian, Sizhen; Magno, Michele (CoRR, 2023)

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey. - Bian, Sizhen; Liu, Mengxi; Zhou, Bo; Lukowicz, Paul (Sensors, 2022)

Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. - Bian, Sizhen; Wang, Xiaying; Polonelli, Tommaso; Magno, Michele (2022)

Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. - Liu, Mengxi; Bian, Sizhen; Zhou, Bo; Grünerbl, Agnes; Lukowicz, Paul (2022)

Non-contact, real-time eye blink detection with capacitive sensing. - Liu, Mengxi; Bian, Sizhen; Lukowicz, Paul (2022)

Magnetic Field Based Hand Tracking. - Bian, Sizhen; Guo, Kexuan; Liu, Mengxi; Zhou, Bo; Lukowicz, Paul (CoRR, 2022)

Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. - Liu, Mengxi; Bian, Sizhen; Zhou, Bo; Grünerbl, Agnes; Lukowicz, Paul (CoRR, 2022)

The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition. - Bian, Sizhen; Rey, Vítor Fortes; Yuan, Siyu; Lukowicz, Paul (CoRR, 2022)

Induced Magnetic Field-Based Indoor Positioning System for Underwater Environments. - Bian, Sizhen; Hevesi, Peter; Christensen, Leif; Lukowicz, Paul (Sensors, 2021)

Using Privacy Respecting Sound Analysis to Improve Bluetooth Based Proximity Detection for COVID-19 Exposure Tracing and Social Distancing. - Bahle, Gernot; Rey, Vítor Fortes; Bian, Sizhen; Bello, Hymalai; Lukowicz, Paul (Sensors, 2021)

Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device. - Bian, Sizhen; Yuan, Siyu; Rey, Vítor Fortes; Lukowicz, Paul (2021)

A Systematic Study of the Influence of Various User Specific and Environmental Factors on Wearable Human Body Capacitance Sensing. - Bian, Sizhen; Lukowicz, Paul (2021)

Capacitive Sensing Based On-board Hand Gesture Recognition with TinyML. - Bian, Sizhen; Lukowicz, Paul (2021)

Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing. - Amft, Oliver; Gonzalez, Luis Ignacio Lopera; Lukowicz, Paul; Bian, Sizhen; Burggraf, Paul (IEEE Pervasive Comput., 2020)

Social Distance Monitor with a Wearable Magnetic Field Proximity Sensor. - Bian, Sizhen; Zhou, Bo; Lukowicz, Paul (Sensors, 2020)

A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing. - Bian, Sizhen; Zhou, Bo; Bello, Hymalai; Lukowicz, Paul (2020)

Finger Air Writing - Movement Reconstruction with Low-cost IMU Sensor. - Younas, Junaid; Margarito, Hector; Bian, Sizhen; Lukowicz, Paul (2020)

Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting. - Bian, Sizhen; Rey, Vitor F.; Hevesi, Peter; Lukowicz, Paul (2019)

Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition. - Bian, Sizhen; Rey, Vitor F.; Younas, Junaid; Lukowicz, Paul (2019)

Preparation for Future Learning: Augmented-Reality Enhanced Interactive Science Labs. - Amiraslanov, Orkhan; Javaheri, Hamraz; Bian, Sizhen; Lukowicz, Paul (2018)