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09/14/2023
A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors
We present a novel local-global feature fusion framework for body-weight...
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08/21/2023
Unreflected Acceptance – Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education
Large language models (LLMs) have recently gained popularity. However, t...
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08/07/2023
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Early prediction of remaining useful life (RUL) is crucial for effective...
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08/07/2023
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Manufacturing industries strive to improve production efficiency and pro...
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08/01/2023
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps
We propose PressureTransferNet, a novel method for Human Activity Recogn...
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07/21/2023
Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods
To help smart wearable researchers choose the optimal ground truth metho...
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07/03/2023
Don't freeze: Finetune encoders for better Self-Supervised HAR
Recently self-supervised learning has been proposed in the field of huma...
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07/03/2023
SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms
Accurate camera calibration is crucial for various computer vision appli...
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07/03/2023
Capafoldable: self-tracking foldable smart textiles with capacitive sensing
Folding is an unique structural technique to enable planer materials wit...
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06/24/2023
ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
Online clothing shopping has become increasingly popular, but the high r...
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06/23/2023
Social AI and the Challenges of the Human-AI Ecosystem
The rise of large-scale socio-technical systems in which humans interact...
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06/07/2023
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
We present CaptAinGlove, a textile-based, low-power (1.15Watts), privacy...
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05/22/2023
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
In this work, we propose an open-source scalable end-to-end RTL framewor...
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02/24/2023
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and m...
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02/08/2023
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
Recognizing facial activity is a well-understood (but non-trivial) compu...
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02/01/2023
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Ground pressure exerted by the human body is a valuable source of inform...
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10/26/2022
The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition
The current dominated wearable body motion sensor is IMU. This work pres...
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10/04/2022
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition
We address the well-known wearable activity recognition problem of havin...
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10/03/2022
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition
Human health is closely associated with their daily behavior and environ...
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09/14/2022
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Wearable sensor-based human activity recognition (HAR) has emerged as a ...
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07/18/2022
Magnetic Field Based Hand Tracking
Sensor-based 3D hand tracking is still challenging despite the massive e...
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05/28/2022
Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images
The estimation of 3D human body shape and clothing measurements is cruci...
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10/23/2021
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
User dependence remains one of the most difficult general problems in Hu...
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09/26/2021
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Bearing is a key component in industrial machinery and its failure may l...
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11/29/2020
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Current research in eSports lacks the tools for proper game practising a...
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11/23/2020
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
Human activity recognition (HAR) using wearable sensors has benefited mu...
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11/02/2020
Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Proper training and analytics in eSports require accurately collected an...
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10/24/2020
Discriminative feature generation for classification of imbalanced data
The data imbalance problem is a frequent bottleneck in the classificatio...
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10/20/2020
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal
Document image enhancement and binarization methods are often used to im...
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08/26/2020
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
The demands of automated shipping address recognition and verification h...
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04/10/2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
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03/30/2020
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
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05/16/2019
Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields
The field of collaborative interactive learning (CIL) aims at developing...
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01/30/2017
Self-Adaptation of Activity Recognition Systems to New Sensors
Traditional activity recognition systems work on the basis of training, ...
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01/04/2017
Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection
Convolutional Neural Networks (CNNs) have become the state-of-the-art in...
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04/01/2015
A New Vision of Collaborative Active Learning
Active learning (AL) is a learning paradigm where an active learner has ...
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11/10/2012
