Real-Time Sound Recognition System for Human Care Robot Considering Custom Sound Events
In real-life situations where human care robots are deployed, there are custom sound events whose acoustic characteristics change depending on the user’s choice unlike general sound events so that the human care robots cannot recognize custom ...
Seong-Hu Kim +3 more
doaj +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]
Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett +7 more
core +1 more source
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Design and Collection of Acoustic Sound Data for Hands-Free Speech Recognition and Sound Scene Understanding [PDF]
The sound data for open evaluation is necessary for studies such as sound source localization, sound retrieval, sound recognition and hands-free speech recognition in real acoustic environments.
Nakamura, Satoshi +17 more
core +2 more sources
Automatic Detection and Recognition of Swallowing Sounds
This paper proposes a non-invasive, acoustic-based method to i) automatically detect sounds through a neckworn microphone providing a stream of acoustic input comprising of a) swallowing-related, b) speech and c) other ambient sounds (noise); ii) classify and detect swallowing-related sounds, speech or ambient noise within the acoustic stream.
Hajer Khlaifi +3 more
openaire +1 more source
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
Tempo Recognition of Kendhang Instruments Using Hybrid Feature Extraction
This article is the result of research on Gamelan instruments that examines from a technological perspective what is rarely done nowadays, through kendhang tempo recognition by proposing three classification modeling schemes. The proposed scheme is a new
Muljono +4 more
doaj +1 more source
Hearing Performance Benefits of a Programmable Power Baha® Sound Processor with a Directional Microphone for Patients with a Mixed Hearing Loss [PDF]
ObjectivesNew signal processing technologies have recently become available for Baha® sound processors. These technologies have led to an increase in power and to the implementation of directional microphones.
Mark C. Flynn +4 more
doaj +1 more source
When the shearer is cutting, the sound signal generated by the cutting drum crushing coal and rock contains a wealth of cutting status information. In order to effectively process the shearer cutting sound signal and accurately identify the cutting mode,
Changpeng Li, Tianhao Peng, Yanmin Zhu
doaj +1 more source

