Sensor-Based Activity Recognition and Artificial Intelligence
Language: English
Published by Springer, Springer Jan 2026, 2026
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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This item is printed on demand - Print on Demand Titel. Neuware -.- One-Sided CSI-Based Sensing in Adversarial Through-Wall Settings.- Hue4U: Real-Time Personalized Color Correction in Augmented Reality.- How AI is shaping society and why we must keep it at bay.- A Machine Learning Approach to Cognitive Load Estimation in Augmented Reality Using Eye Tracking.- Lightweight Deep Learning for Sensor-Based HAR: Benchmarking Optimization Strategies.- A Cyber-Physical-Human System design for challenging behaviour monitoring in people with dementia.- DenseVoxelNet3D: A Compact 3D CNN Architecture for Human Activity Recognition Using LiDAR Point Clouds.- InSSeqTra: Inter data Selective Sequential Transfer Learning for Domain Adaptation in CSI-based HAR.- Topological Versus Spatiotemporal Gait Parameters for Fall Risk Detection with IMU Sensors.- Toward Efficient Wearable Monitoring of Cognitive Fatigue in Human Robot Interaction: A Comparative Study of Electrocardiography (ECG) and Electrodermal Activity (EDA) Signals.- Radar Placement Effects on Multi-Patient Heart and Respiration Monitoring, SiViS dataset validation.- Scenario-Controlled Synthetic Data Augmentation: In Application of Agitation Monitoring.- Illusion of Precision: How Averaging Undermines Pulse Measurement Accuracy.- Synthetic data generation using a smart floor digital twin for fall detection.- Real-Time ECG and HRV Monitoring in Handball Using a Low-Cost Wearable Sensor.- Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition.- Help the machine to help you: an evaluation in the wild of egocentric data cleaning via skeptical learning.- Improved Strategies for Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection.- No Cloud, No Problem: A Real-Time HAR Insole with On-Device Inference.- Pervasive Intelligent Diagnostics for High-Tech Systems.- Toward Unobtrusive Monitoring of Everyday Activities Using Multimodal Wearable and Ambient Data: A Multiroom Living Lab Feasibility Study.- Evaluating LoRa Mesh Networks for Personal Dead Reckoning of Firefighters.- Grounded in Reality of Human-Computer Interaction: Robust Smartphone-Based Gesture Recognition.- Monitoring harness trotters in diverse cases using an online platform to collect synchronised physiology and locomotion data.- (Poster Paper:) GenIMU: Simulate Realistic IMU Data Using Video Generation Models.- A Technical Insight Into Sensor-S Study: Effect of Wearable Sensors on Patient Engagement and Motivation in Post-Stroke Rehabilitation.- SpaceStriker: A Peer-Assisted Sensor-Based Exergame with Real-Time ML-Driven Feedback.- Voice Privacy in Speech Systems: A Comparative Study of Pitch Shifting and StarGAN-VC.- Toward Low-Complexity Arrhythmia Classification for Ambient Assisted Living.- Hacking Rokoko Smart Gloves for Tool Detection using Recurrent Neural Networks.- Evaluation of the effect of camera viewing angles on the quality of human pose estimation in river surfing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 472 pp. Englisch.…
Seller Inventory # 9783032133113
- Title
- Sensor-Based Activity Recognition and Artificial Intelligence
- Author
- Özlem Durmaz Incel
- Publisher
- Springer, Springer Jan 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3032133114
- ISBN 13
- 9783032133113
- Item weight
- 709 grams
- Dimensions
- 235x155x26 mm
This book constitutes the refereed proceedings of the 10th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025, held in Enschede, The Netherlands, during September 18–19, 2025.
The 19 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 42 submissions. The accepted papers were presented in the following topical sections during the workshop presentations: Next-Gen Human Activity Recognition, AI Health Tech, Data Generation and Cleaning for Robust Human-Centric AI, Wearable Monitoring for Cognitive and Physiological States, and Advanced Sensing and Interaction for Human-Centred Systems.
"Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
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