activity
20242026
most citediMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition

17 citations · 39 across the 25 of their papers we have counts for

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8 papers · 1 filter

cs.LG2025

Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning

Pixi Kang, Julian Moosmann, Mengxi Liu +4

Human Activity Recognition (HAR) with different sensing modalities requires both strong generalization across diverse users and efficient personalization for individuals. However,…

eess.SP2025

Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing

Sizhen Bian, Mengxi Liu, Paul Lukowicz

Passive body-area electrostatic field sensing, also referred to as human body capacitance (HBC), is an energy-efficient and non-intrusive sensing modality that exploits the human b…

cs.CV2025

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices

Sizhen Bian, Mengxi Liu, Vitor Fortes Rey +2

Human Activity Recognition (HAR) on resource-constrained wearable devices demands inference models that harmonize accuracy with computational efficiency. This paper introduces Tini…

cs.CV2025

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models

Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung +3

Human Activity Recognition (HAR) with wearable sensors is essential for applications in healthcare, fitness, and human-computer interaction. Bio-impedance sensing offers unique adv…

cs.HC2025

iBreath: Usage Of Breathing Gestures as Means of Interactions

Mengxi Liu, Daniel Geißler, Deepika Gurung +5

Breathing is a spontaneous but controllable body function that can be used for hands-free interaction. Our work introduces "iBreath", a novel system to detect breathing gestures si…

cs.CV2025

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian +6

We present NeckSense, a novel wearable system for head pose tracking that leverages multi-channel bio-impedance sensing with soft, dry electrodes embedded in a lightweight, necklac…

quant-ph2025

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks

Yannick Werner, Akash Malemath, Mengxi Liu +4

Kolmogorov Arnold Networks (KANs), built upon the Kolmogorov Arnold representation theorem (KAR), have demonstrated promising capabilities in expressing complex functions with fewe…

eess.SP2025

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study

Mengxi Liu, Daniel Geißler, Sizhen Bian +2

Human activity recognition (HAR) ideally relies on data from wearable or environment-instrumented sensors sampled at regular intervals, enabling standard neural network models opti…