Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota
{"title":"Soft Active Electromyography Interface for Machine Learning-Enabled Silent Speech Recognition","authors":"Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota","doi":"10.1002/aisy.70440","DOIUrl":"https://doi.org/10.1002/aisy.70440","url":null,"abstract":"<p>Silent speech recognition (SSR) provides an alternative communication pathway in the absence of audible speech. However, conventional approaches are limited by the need for constant facial attachment, privacy concerns, and unstable signal acquisition. Here, we propose a soft, active electromyography (EMG) interface that enables word-level SSR using machine learning. Worn on the hand, the device uses a fingertip electrode that can be positioned near the lips to acquire EMG signals only when needed. The interface integrates liquid metal (LM) interconnects, transparent flexible printed circuit (FPC) electrodes, and elastomer encapsulation to ensure high mechanical stability during finger motion. A deep neural network trained on these stable signals achieved a mean accuracy of 97.2 ± 1.3% across three subjects in classifying a 30-word vocabulary, demonstrating robust linguistic discrimination. Furthermore, real-time drone control validates the practicality of this approach in noisy and privacy-sensitive environments where conventional voice recognition fails. This study highlights the potential of soft, wearable EMG systems as secure and intuitive human–machine interfaces.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos
{"title":"Design Optimization of Soft Fabric Pneumatic Actuators","authors":"Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos","doi":"10.1002/aisy.70443","DOIUrl":"https://doi.org/10.1002/aisy.70443","url":null,"abstract":"<p>Fabric-based soft pneumatic actuators (SPAs) offer exceptional power-to-weight ratios and inherent compliance, making them very attractive in the soft robotics community and a critical component in the development of next-generation intelligent artificial systems. Existing SPA research predominantly focuses on elastomeric actuators, and the resulting design principles and performance insights are not directly transferable to fabric-based actuator architectures. This study proposes a systematic optimization framework for multi-chamber elongating and bending fabric-based SPAs, based on validated finite element models and transferable objective functions and constraints. A preliminary analysis reduces the design-space dimensionality and identifies exploratory solutions, while a subsequent refined optimization employs statistically validated surrogate models to minimize pneumatic energy consumption under force–displacement or torque–rotation constraints. The resulting optimal designs are validated through both numerical simulations and experimental testing. The proposed framework offers a scalable and reproducible methodology that enables researchers to balance optimization fidelity and computational cost, supporting both rapid design exploration and high-accuracy actuator optimization.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiming Ouyang, Zelin Chen, He Chen, Min Xu, Hao Yang, Wei Gao, Hu Jin, Shiwu Zhang
{"title":"Inside Front Cover: Omnidirectional Shape Proprioception for Untethered Shape Memory Alloy-Driven Soft Robotic Arms (Adv. Intell. Syst. 9/2026)","authors":"Yiming Ouyang, Zelin Chen, He Chen, Min Xu, Hao Yang, Wei Gao, Hu Jin, Shiwu Zhang","doi":"10.1002/aisy.70510","DOIUrl":"https://doi.org/10.1002/aisy.70510","url":null,"abstract":"<p><b>Proprioceptive Soft Robotic Arm</b></p><p>Soft robotic arms (SRAs), with intrinsic adaptability and flexibility, show great potential for operation in unstructured environments. This work presents a shape proprioception method and an untethered compact system design based on a multi-Hall sensing system and shape memory alloy (SMA)-driven actuation. The proposed 3D shape perception provides SRAs with awareness of environmental interactions, while the lightweight design facilitates deployment on various mobile platforms. More details can be found in the Research Article by Wei Gao, Hu Jin, and co-workers (DOI: 10.1002/aisy.70464).\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resource-Aware Contrastive Scattering Meta-Learning for Efficient Few-Shot Acoustic Anomaly Detection","authors":"Rami Zewail, Bassem Mokhtar","doi":"10.1002/aisy.202501454","DOIUrl":"https://doi.org/10.1002/aisy.202501454","url":null,"abstract":"<p>Motivated by the increasing complexity of cyber-physical systems and growing interest in resource-aware artificial intelligence, this paper addresses the challenges related to anomaly detection using limited data with online adaptation. Specifically, we address challenges related to concept drift and generalization in acoustic anomaly detection applications. Within this context, this paper introduces a novel resource-aware Contrastive Scattering Meta-Learning (CSML) framework with an application to the few-shot acoustic anomaly detection problem. The proposed framework leverages the appealing properties of wavelet scattering networks and the power of contrastive learning within a meta-learning framework. Extensive experiments demonstrate its robustness in domain-shifted and noisy environments, yielding promising results against state-of-the-art methods on benchmark datasets from DCASE challenges (2020–2022) while maintaining a lightweight for 50 K learnable parameters.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501454","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Back Cover: Implantation-On-Chip: An AI-Based Platform for Monitoring the Embryo Trophoblast–Endometrial Stroma Cross Talk With Xenobiotics Interference (Adv. Intell. Syst. 9/2026)","authors":"Joanna Filippi, Valentina Lacconi, Arianna Mencattini, Micol Massimiani, Dolores Lobresca, Gaia Posanzini, Alessia Riccardi, Paola Casti, Michele D’Orazio, Gianni Antonelli, Giorgia Curci, Luisa Campagnolo, Eugenio Martinelli","doi":"10.1002/aisy.70512","DOIUrl":"https://doi.org/10.1002/aisy.70512","url":null,"abstract":"<p><b>Implantation-on-Chip</b></p><p>This work presents a novel rapid-prototyping implantation-on-chip device combined with AI-based analysis to monitor the crosstalk between human endometrial stromal and trophoblast cells during the early stages of embryo implantation. Trophoblast invasion is analyzed at multiple scales, revealing altered cell dynamics in the presence of nanoparticles. More details can be found in the Research Article Luisa Campagnolo, Eugenio Martinelli, and co-workers (DOI: 10.1002/aisy.202500755).\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shucong Yin, Bin Huang, Shiyuan Dong, Junhao Wang, Liangshen Zhao, Yang Yang, Bingkun Bao, Hongen Liao, Fang Chen, Tianqi Huang, Boyu Zhang
{"title":"Bronchoscopy Robot with Enhanced Flexibility and Stability via Multi-Segment Variable Stiffness Catheter","authors":"Shucong Yin, Bin Huang, Shiyuan Dong, Junhao Wang, Liangshen Zhao, Yang Yang, Bingkun Bao, Hongen Liao, Fang Chen, Tianqi Huang, Boyu Zhang","doi":"10.1002/aisy.70451","DOIUrl":"https://doi.org/10.1002/aisy.70451","url":null,"abstract":"<p>Bronchoscopy robots are pivotal for improving the accuracy and efficiency of early lung cancer diagnosis. However, the stiffness of existing systems is fixed, which limits the robot from accurately navigating and performing stable operations on distant peripheral nodules. This paper introduces a novel bronchoscopy robot equipped with a magnetic multi-segment variable stiffness catheter, whose stiffness can be precisely adjusted in real time. The soft state of the catheter can enhance the flexibility of movement, while the rigid state can provide stable support. The catheter's slender profile and wirelessly magnetic steerability facilitate access to the distal terminal bronchi for examination. The catheter achieved a maximum bending angle of 49.07° in soft state and 1.11° in rigid state. By independently controlling the stiffness of each segment, the catheter could conform to various complex shapes. In vitro experiments showed that the bronchoscopy robot could reach deep branches of the lung and operate in conjunction with tools such as lasers. The results of the live pig experiment confirmed that the bronchoscopy robot could navigate to the bronchial target location for detection. By accessing distal bronchi unreachable by commercial systems, our robot offers a superior solution for early-stage lung cancer bronchoscopy.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70451","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanan Zhang, Jiaqi Li, Tao Jing, Yang Yu, Yang Zhang, Xingpeng Yan
{"title":"Scene-Customized Learning for Multi-Depth 3D Phase-Only Hologram Generation","authors":"Yanan Zhang, Jiaqi Li, Tao Jing, Yang Yu, Yang Zhang, Xingpeng Yan","doi":"10.1002/aisy.70457","DOIUrl":"https://doi.org/10.1002/aisy.70457","url":null,"abstract":"<p>Convolutional neural network (CNN)–based computer-generated holography (CGH) enables high-speed, high-quality holographic display, yet its performance depends critically on the statistical characteristics of training datasets, and systematic frameworks for evaluating the performance boundaries of CNN-based hologram encoders remain lacking. From a dataset design perspective, this study proposes GM-4K, a 4K RGB-D dataset constructed through scene-customized geometric modeling. Using random geometric primitives, procedural textures, and parameterized spatial sampling, GM-4K generates scenes with controllable low-, mid-, high-, and wide-frequency intensity distributions, while also allowing flexible depth-region sampling. Numerical and optical experiments using a U-Net++ encoder demonstrate that the intensity spectral distribution of training data significantly influences the reconstruction quality of multi-depth phase-only holograms and that models trained on wide- or mid-frequency datasets exhibit better overall generalization in complex 3D scenes. Based on this observation, a spectral test framework comprising low-, mid-, and high-frequency scenes is developed to evaluate hologram encoding models under different frequency conditions. The proposed dataset construction paradigm and spectral test framework provide controllable data support for multi-depth hologram generation and offer practical guidance for data design and model evaluation in learning-based CGH.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70457","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Talk to Your Data: An Agentic Artificial Intelligence-Driven Decision-Support Framework for Prosumer Energy Optimization and Recommendations","authors":"Adela BÂRA, Simona-Vasilica OPREA","doi":"10.1002/aisy.70442","DOIUrl":"https://doi.org/10.1002/aisy.70442","url":null,"abstract":"<p>The growth of distributed renewables and residential storage has turned consumers into active prosumers, creating new energy management challenges that require advanced optimization and transparent support. This study proposes an agentic AI-driven decision-support framework for load optimization and behavioral guidance that integrates models for photovoltaic (PV) generation and load profiling, short-term operational optimization, long-term system planning and a comprehensive performance evaluation layer based on energy, economic and battery health KPIs. These components are orchestrated with a four-agent architecture, comprising a <i>Profiler</i>, a <i>Short-Term Advisor</i>, a <i>Long-Term Advisor</i>, and a <i>Q&A Agent</i> that combine large language models (LLM) with explicit rule-based policies to produce reliable, interpretable and economic recommendations for energy management. Short-term optimization significantly reduces grid imports by aligning flexible loads with PV production and stabilizing battery behavior. Long-term optimization achieves near-autonomous system configurations, increasing self-sufficiency from 69.6% to 97.55% for Prosumer P1 and from 37.2% to 72.4% for Prosumer P2, while cutting grid dependence by more than half. The advisory agents successfully prevent unnecessary system oversizing, enforce battery protection and generate economic recommendations. The Q&A agent achieves high performance, with intent accuracy above 96%, numerical correctness above 93% and high user-rated usefulness, confirming the framework's accessibility for nontechnical users.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ag/Ag2S Nanoparticle-Based In-Materio Lightweight Cryptographic System for IoT Edge Security","authors":"Hiroki Tabata, Yuma Yamashita, Yusuke Nakaoka, Oradee Srikimkaew, Muzhen Xu, Yuki Usami, Shunsuke Araki, Hirofumi Tanaka","doi":"10.1002/aisy.202501500","DOIUrl":"https://doi.org/10.1002/aisy.202501500","url":null,"abstract":"<p>In Internet of Things (IoT) edge environments, securing sensor data with minimal computational overhead is increasingly important, as conventional software-based cryptographic methods require significant computational resources and remain vulnerable to cyber-physical attacks such as side-channel attacks. In this study, we demonstrate an in-materio lightweight cryptographic scheme that leverages the nonlinear response and short-term memory of Ag/Ag<sub>2</sub>S nanoparticle devices to directly encrypt analog signals without relying on any external computational resources. By sequentially processing electrocardiogram signals through a series of nanoparticle devices, the encrypted outputs exhibit enhanced complexity and statistical randomness and pass the NIST SP 800-22 randomness tests. Decryption is performed using step-by-step inverse conversion models constructed with echo-state networks, enabling the reconstruction of the original signal with 91% accuracy while preserving the intrinsic device dynamics. These results establish a computation resource-free physical-layer encryption approach based on nanomaterial behavior and highlight its potential as a practical and computationally efficient security mechanism for next-generation IoT edge systems.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501500","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Run Ze Gao, Chen Xi Huang, Drew M. Werbowski, Jacqueline Mary Kormylo, Clark R. Dickerson, Carolyn L. Ren
{"title":"Microfluidic Valve-Integrated Garment for Smooth Sequential Gradient Mechanotherapy","authors":"Run Ze Gao, Chen Xi Huang, Drew M. Werbowski, Jacqueline Mary Kormylo, Clark R. Dickerson, Carolyn L. Ren","doi":"10.1002/aisy.202501462","DOIUrl":"https://doi.org/10.1002/aisy.202501462","url":null,"abstract":"<p>Current mechanotherapy systems for at-home management of lymphedema and deep vein thrombosis are limited by gaps between actuators and bulky electromechanical control units, leading to untreated regions and restricting use to stationary settings. A key bottleneck is that conventional designs require one valve per actuator, causing control unit size and power demand to scale with actuator count. Here, we present a benchtop study on a wearable mechanotherapy system that addresses these challenges through two innovations: (1) a monolithic sheet of overlapping soft fluidic actuators integrated into a garment to eliminate actuator gaps and (2) embedded microfluidic in-line membrane valves (μIMVs) that dramatically reduce the number of required electromechanical valves. Overlapping actuators by 40% removes pressure gaps between neighboring actuators, enabling smooth, uniform gradient compression. We further demonstrate μIMVs (3.6 × 0.6 mm) integrated directly with actuators and combined with resistance microchannels on a chip to achieve gradient pressure holding (10–20 mbar increments) and rapid, uniform passive deflation (<3 s), overcoming slow-throughput treatment cycles limitations of valve-less microchannel designs while maintaining scalability. This miniaturized system enables a smartphone-sized control unit, supports direct garment integration, and represents a substantial advance toward truly portable, patient-centric mechanotherapy for circulatory disorders.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}