Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Noncontact human-machine interactions (HMIs) provide a hygienic and intelligent approach to communicate between humans and machines. However, current noncontact HMIs are generally hampered by the interaction distance, and they lack the adaptability to environmental interference such as high humidity conditions. Here, we explore a self-powered electret-based noncontact sensor (ENS) with moisture-resisting ability and ultrawide sensing range exceeding 2.5 m. A megascopic air-bubble structure is designed to enhance charge-storage stability and charge-recovery ability of the ENS based on the heterocharge-synergy effect in electrets. Besides, multilayer electret films are introduced to strengthen the electric field by utilizing the electrostatic field superposition effect. Thanks to the above improved performances of the ENS, we demonstrate various noncontact HMI applications in harsh environments, including noncontact appliances, a moving trajectory and accidental fall tracking system, and a real-time machine learning-assisted gesture recognition system with accuracy as high as 99.21%. This research expands the way for noncontact sensor design and may further broaden applications in noncontact HMIs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/acsnano.3c05507 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Heartbeat detection and personal authentication using a 60 GHz Doppler sensor.
Front Digit Health
August 2025
Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan.
Background: Microwave Doppler sensors, capable of detecting minute physiological movements, enable the measurement of biometric information, such as walking patterns, heart rate, and respiration. Unlike fingerprint and facial recognition systems, they offer authentication without physical contact or privacy concerns. This study focuses on non-contact seismocardiography using microwave Doppler sensors and aims to apply this technology for biometric authentication.
View Article and Find Full Text PDFLaser-Induced Photothermal Conversion to Hemispherical MoS Enabling Non-Contact Self-Powering Image Sensor.
Adv Sci (Weinh)
September 2025
Thin Film Materials Research Center, Korea Research Institute of Chemical Technology, Daejeon, 34114, Republic of Korea.
Molybdenum disulfide (MoS) has recently emerged as a promising material for the development of triboelectric nanogenerators (TENGs) owing to its inherently negative triboelectric properties when paired with polymeric layers, along with its notable transparency and mechanical flexibility. However, MoS-based TENGs operating in the contact-separation mode encounter critical limitations, including mechanical wear and limited triboelectric performance, particularly within the constraints of conventional 2D geometries. This paper reports the novel one-step laser-assisted synthesis of hemispherical MoS through the controlled nucleation and growth of MoS precursor seeds.
View Article and Find Full Text PDFEnhancing Interlayer Bonding in DLP-Printed Piezoelectric Ceramics via Controlled Secondary Curing for High Piezoelectric Performance.
Adv Sci (Weinh)
September 2025
State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China.
Digital light processing (DLP) presents a promising approach for fabricating intricately designed piezoelectric components, which are essential for developing high-sensitivity piezoelectric sensor systems. However, the inherent layer-by-layer stacking nature of DLP induces interlayer cracking in printed ceramics, which severely deteriorates their performance. This work introduces an innovative interfacial engineering strategy to print superlattice components with exceptional piezoelectric performance.
View Article and Find Full Text PDFHeart failure diagnosis and ejection fraction classification via feature fusion model using non-contact vital sign signals.
Comput Methods Programs Biomed
August 2025
School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, 528225, China. Electronic address:
Background And Objectives: Ballistocardiography (BCG) has emerged as a promising modality for home-based heart failure (HF) monitoring, yet existing single-dimensional manual feature analyses fail to adequately characterize left ventricular ejection fraction (LVEF < 40%) dynamics. We address this limitation by developing a hybrid feature fusion framework that synergizes manual feature engineering with deep learning for improved HF diagnosis and LVEF classification.
Methods: 83 participants were recruited from a hospital, with their samples categorized into two (healthy and HF) and three classes (healthy, LVEF ≥ 40% HF, and LVEF < 40% HF) based on clinical diagnosis.
Paperclip-Type Flexible Inductive Sensor Based on Liquid Metal Coils for Simple Fabrication and Multifunctional Applications.
Micromachines (Basel)
August 2025
School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
At present, high-resolution and reliable inductive sensors have increasingly emerged as a pivotal component in the advancement of flexible electronic devices. The integration of liquid metal with flexible substrates presents a promising approach for the fabrication of inductive sensors. This paper introduces a novel paperclip-type helical coil inductive sensor, characterized by advancements in both structural design and a simplified manufacturing process.
View Article and Find Full Text PDF