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A Covid-19 Lockdown Indoor Electric Arm Training Machine' Design and Mechanism
3rd World Symposium on Artificial Intelligence, WSAI 2021 ; : 98-102, 2021.
Article in English | Scopus | ID: covidwho-1405153
ABSTRACT
Along with the spread of Covid-19, many countries are locked down, and people cannot go out for exercises as they were before. Additionally, along with the spread of streaming media, people are spending more and more time on TVs, and Internet Media, leaving less time for exercise, which is an essential factor in promoting healthy life. Current indoor exercising devices are either not fully integrated with the household environment or cannot let people exercise while watching TV. Thus, this paper introduces an electric arm training apparatus, including a housing, an arms training drive structure, an assembly matching structure and a microprocessor, said housing having an arms training drive structure mounted inside, and an assembly matching structure fixed to a lower end face of the housing, said housing having an operating structure at one end, and a mobile phone paired code at one side of the surface of the operating structure, and a voice broadcast being set above the mobile phone paired code. The device is equipped with a training drive structure that allows the user to rewind the connecting rope and handle. The training drive structure allows the user to reel in the stretched cord and handle, thus ensuring that the trainer's arm is contracted and stretched in a cyclic manner, and the assembly and matching structure allows the device to be easily interfaced with the customizable external mounting bracket - the ability to increase the diversity of device assemblies. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 3rd World Symposium on Artificial Intelligence, WSAI 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 3rd World Symposium on Artificial Intelligence, WSAI 2021 Year: 2021 Document Type: Article