ArticleScience advances2022
A wave-confining metasphere beamforming acoustic sensor for superior human-machine voice interaction.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- From Fixed-Frequency to Tunable: Advances in Acoustic Sensors for Physiological Acoustic Monitoring.Sensors (Basel, Switzerland) · 2026Review
- Body-coupled minimalist human-machine interface for multifunctional touch detection.Microsystems & nanoengineering · 2025Article
- Deep learning-empowered triboelectric acoustic textile for voice perception and intuitive generative AI-voice access on clothing.Science advances · 2025Article
- Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Study on Vibration Characteristics of Functionally Graded Material Composite Spherical Piezoelectric Transducer.Sensors (Basel, Switzerland) · 2025Article
- Emerging Piezoelectric Metamaterials for Biomedical Applications.Materials and interfaces · 2024Article
- A self-filtering liquid acoustic sensor for voice recognition.Nature electronics · 2024Article
- An ultrahigh sensitivity acoustic sensor system for weak signal detection based on an ultrahigh-Microsystems & nanoengineering · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Highly sensitive, source-tracking acoustic sensing is essential for effective and natural human-machine interaction based on voice. It is a known challenge to omnidirectionally track sound sources under a hypersensitive rate with low noise interference using a compact sensor. Here, we present a unibody acoustic metamaterial spherical shell with equidistant defected piezoelectric cavities, referred to as the metasphere beamforming acoustic sensor (MBAS). It demonstrates a wave-confining capability and low self-noise, simultaneously achieving an outstanding intrinsic signal-to-noise ratio (72 dB) and an ultrahigh sensitivity (137 mV
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.