A Coupled Piezoelectric Sensor for MMG-Based Human-Machine Interfaces

التفاصيل البيبلوغرافية
العنوان: A Coupled Piezoelectric Sensor for MMG-Based Human-Machine Interfaces
المؤلفون: Mateusz Szumilas, Michał Władziński, Krzysztof Wildner
المصدر: Sensors; Volume 21; Issue 24; Pages: 8380
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 8380, p 8380 (2021)
بيانات النشر: Multidisciplinary Digital Publishing Institute, 2021.
سنة النشر: 2021
مصطلحات موضوعية: human-machine interface, Chemical technology, vibration sensor, convolutional neural network, mechanomyography, piezoelectric sensor, prosthetic control, hand gesture recognition, TP1-1185, Hand, Biochemistry, Atomic and Molecular Physics, and Optics, Article, Analytical Chemistry, Forearm, Humans, Neural Networks, Computer, Electrical and Electronic Engineering, Muscle, Skeletal, Instrumentation, Muscle Contraction
الوصف: Mechanomyography (MMG) is a technique of recording muscles activity that may be considered a suitable choice for human–machine interfaces (HMI). The design of sensors used for MMG and their spatial distribution are among the deciding factors behind their successful implementation to HMI. We present a new design of a MMG sensor, which consists of two coupled piezoelectric discs in a single housing. The sensor’s functionality was verified in two experimental setups related to typical MMG applications: an estimation of the force/MMG relationship under static conditions and a neural network-based gesture classification. The results showed exponential relationships between acquired MMG and exerted force (for up to 60% of the maximal voluntary contraction) alongside good classification accuracy (94.3%) of eight hand motions based on MMG from a single-site acquisition at the forearm. The simplification of the MMG-based HMI interface in terms of spatial arrangement is rendered possible with the designed sensor.
وصف الملف: application/pdf
اللغة: English
تدمد: 1424-8220
DOI: 10.3390/s21248380
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49dc9d304ed640a741805d49c5561a0eTest
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....49dc9d304ed640a741805d49c5561a0e
قاعدة البيانات: OpenAIRE
الوصف
تدمد:14248220
DOI:10.3390/s21248380