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

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

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

A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing. - Sizhen Bian; Bo Zhou 005; Hymalai Bello; Paul Lukowicz (ISWC, 2020)

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

Social Distance Monitor with a Wearable Magnetic Field Proximity Sensor. - Sizhen Bian; Bo Zhou 005; Paul Lukowicz (Sensors, 2020)

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 (ABC, 2021)

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

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

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

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

Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection. - Mengxi Liu; Sizhen Bian; Bo Zhou 005; Agnes Grünerbl; Paul Lukowicz (UbiComp/ISWC Adjunct, 2022)

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

Magnetic Field Based Hand Tracking. - Sizhen Bian; Kexuan Guo; Mengxi Liu; Bo Zhou 005; Paul Lukowicz (CoRR, 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)

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey. - Sizhen Bian; Mengxi Liu; Bo Zhou 005; Paul Lukowicz (Sensors, 2022)

iEat: Human-food interaction with bio-impedance sensing. - Mengxi Liu; Yu Zhang 171; Bo Zhou 005; Sizhen Bian; Agnes Grünerbl; Paul Lukowicz (UbiComp/ISWC Adjunct, 2023)

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. - Pietro Bonazzi; Thomas Rüegg; Sizhen Bian; Yawei Li 001; Michele Magno (SENSORS, 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 (ISCAS, 2023)

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

Fully Automatic Gym Exercises Recording: An IoT Solution. - Sizhen Bian; Alexander Rupp; Michele Magno (MetroInd4.0&IoT, 2023)

3D Hand Tracking with Induced Magnetic Field. - Sizhen Bian; Bo Zhou 005; Paul Lukowicz; Mengxi Liu; Michele Magno; Kexuan Guo (PerCom Workshops, 2023)

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. - Pietro Bonazzi; Sizhen Bian; Giovanni Lippolis; Yawei Li 001; Sadique Sheik; Michele Magno (CoRR, 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Pietro Bonazzi; Julian Moosmann; Yawei Li 001; Sizhen Bian; Michele Magno (CoRR, 2023)

MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. - Bo Zhou 005; 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., 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Pietro Bonazzi; Yawei Li 001; Sizhen Bian; Michele Magno (AICAS, 2024)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. - Pietro Bonazzi; Sizhen Bian; Giovanni Lippolis; Yawei Li 001; Sadique Sheik; Michele Magno (CVPR Workshops, 2024)

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. - Julian Moosmann; Pietro Bonazzi; Yawei Li 001; Sizhen Bian; Philipp Mayer; Luca Benini; Michele Magno (ECCV Workshops (23), 2024)

CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. - Victor Luder; Sizhen Bian; Michele Magno (I2MTC, 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 (ISWC, 2024)

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets. - Mengxi Liu; Sizhen Bian; Bo Zhou 005; Paul Lukowicz (ISWC, 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 005; Paul Lukowicz (CoRR, 2024)

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

Energy-efficient, low-latency, and non-contact eye blink detection with capacitive sensing. - Mengxi Liu; Sizhen Bian; Zimin Zhao; Bo Zhou 005; Paul Lukowicz (Frontiers Comput. Sci., 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 005; Paul Lukowicz; Michele Magno (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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 005; Paul Lukowicz (IEEE Internet Things J., 2024)

Multi-Partner Project: Sustainable Textile Electronics (STELEC). - Bo Zhou 005; Mengxi Liu; Sizhen Bian; Daniel Geißler; Paul Lukowicz; José Miranda; Jonathan Dan; David Atienza; Mohamed Amine Riahi; Norbert Wehn; Russel N. Torah; Sheng Yong; et al. (DATE, 2025)

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

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study. - Mengxi Liu; Daniel Geißler; Sizhen Bian; Bo Zhou 005; Paul Lukowicz (PerCom Workshops, 2025)

Optimizing Energy Consumption and Coverage in Underwater Magnetic Induction-Assisted Acoustic WSNs Using Learning Automata-Based Cooperative MIMO Formation. - Qingyan Ren; Yanjing Sun; Sizhen Bian; Michele Magno (IEEE Trans. Netw. Sci. Eng., 2025)

MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking. - Bo Zhou 005; Daniel Geißler; Lala Shakti Swarup Ray; Vitor F. Rey; Sungho Suh; Sizhen Bian; Gesche Joost; Paul Lukowicz (GetMobile Mob. Comput. Commun., 2025)

iBreath: Usage Of Breathing Gestures as Means of Interactions. - Mengxi Liu; Daniel Geißler; Deepika Gurung; Hymalai Bello; Bo Zhou 005; Sizhen Bian; Paul Lukowicz; Passant Elagroudy (CoRR, 2025)

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices. - Sizhen Bian; Mengxi Liu; Vítor Fortes Rey; Daniel Geissler; Paul Lukowicz (CoRR, 2025)

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation. - Mengxi Liu; Lala Shakti Swarup Ray; Sizhen Bian; Ko Watanabe; Ankur Bhatt; Joanna Sorysz; Russel N. Torah; Bo Zhou 005; Paul Lukowicz (CoRR, 2025)

Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning. - Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou 005; Michele Magno; Paul Lukowicz; Sizhen Bian (CoRR, 2025)