Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Intelligent Weight Machines with Load Adjustment Based on Servo Drive (Project Under Development)

Bibliographic Data

ID18968960
AuthorsVitaliy V Epishev, Vitaliy Epishev (South Ural State University, corresponding author), Dmitriy G Maksakov (South Ural State University), Vadim V Erlikh, В В Эрлих (0000-0003-4416-1925, South Ural State University), Alexey A Petrov, Alexey Petrov (0000-0001-5072-2587, South Ural State University), Lina N Petrova, Л Н Петрова (0000-0003-0545-7635, South Ural State University)
Year2021
Pages241-249
Publication date2021-02-01
Open AccessYes
TypeARTICLE
VenueJournal of Siberian Federal University Humanities & Social Sciences (JOURNAL)
Journal identifiersISSN: 1997-1370 • E-ISSN: 2313-6014
PublisherSiberian Federal University (PUBLISHER • RU)
DOI10.17516/1997-1370-0715
OpenAlexW3136820469
LanguageEN

The study aims to create a new generation weight machine for obtaining objective information (digital control) about the performed load and the response of the cardiovascular system and the musculoskeletal system during exercise. Patent search, publication analysis, marketing research, and three research and development activities were carried out. Technical requirements for intelligent weight machines were formulated. Based on the Gravitron training machine, 2 prototypes were created, where traditional weight stacks were replaced by a system consisting of a servo drive and control system components. To control the biomechanics of movement, a prototype consisting of a force platform integrated into the seat of the weight machine was developed. Biofeedback is implemented by displaying data on the center of pressure in the initial position and during exercise. A prototype of an ECG monitoring system in standard lead I was created, which is software and hardware built into the bar of a weight machine. The primary results demonstrate the technical feasibility of creating a new class of training machines with biofeedback and continuous monitoring of the user’s state. Combining several intelligent machines into a single gym ecosystem will allow developing fundamentally new approaches to the training process

Control engineering · Embedded system · Operating system · Servomotor · Simulation · Computer Science · Engineering · Engineering Education and Technology · Artificial Intelligence

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae