Implementation of Bi-fractional Filtering on the Arduino Uno Hardware Platform

Bauer, Waldemar; Kawala-Janik, Aleksandra

doi:10.1007/978-3-319-45474-0_37

Cited by 16 publications

(7 citation statements)

References 24 publications

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“…The overall circuit is a collection of components utilized by the simulated robot that transports cargo. This robot operates depending on the Bluetooth module and Android application input [12] [13]. Then, the Arduino Uno microcontroller processes the input to provide the process outcomes.…”

Section: Resultsmentioning

confidence: 99%

Cargo Simulation Robot Prototype with Bluetooth Based Motor Driver Shield Using Arduino Uno Microcontroller

Chandra

Irfan²,

Putro³

2022

Int. J. Artif. Intell. Robot.

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From the android developer website, it can be seen that the number of android users in the world is increasing. Almost 70% of the world's people use Android as their gadget. Nevertheless, today's average person uses android gadgets only to send messages, social media, and telephone. Furthermore, they do not realize they can increase the ease and sophistication of other things in the world and are very useful for everyday things and certain things in life. In today's modern era, many communication types of equipment have an intelligent system or what is commonly referred to as a smartphone. Modern society uses branded gadgets as a lifestyle. Today, the average person uses android gadgets only to send messages, social media, and telephone. When using Bluetooth, applications are generally used to exchange data. However, now Bluetooth is not only used to communicate with telephones or computers but can also be used to command an electronic device according to the needs of its users. The purpose of this research is to create a robot simulation that can be controlled using Bluetooth to move an item to facilitate human work, relieve heavy tasks that have a high risk, for example carrying goods in the factory and reduce accidents in terms of carrying goods, and able to be controlled things remotely as desired by utilizing Bluetooth media using the Arduino Uno-based L293D Motor Shield Driver.

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Section: Resultsmentioning

confidence: 99%

Cargo Simulation Robot Prototype with Bluetooth Based Motor Driver Shield Using Arduino Uno Microcontroller

Chandra

Irfan²,

Putro³

2022

Int. J. Artif. Intell. Robot.

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“…The application of such filters is becoming more and more popular. The theoretical background of these filters is very well-documented and they were developed long ago-being first introduced in the 19th century [283,284], despite becoming popular recently [285].…”

Section: Advanced Signal Processing Methods For Bci Systemsmentioning

confidence: 99%

“…The non-integer order systems enable detection of the waves in robust biomedical signals, but they also enable to model them [282][283][284].…”

Section: Advanced Signal Processing Methods For Bci Systemsmentioning

confidence: 99%

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

et al. 2021

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Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention people who were pioneers in this area as well as we highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many. Aiming to fully understand how the human brain works is a very ambitious goal and it will surely take time to succeed. However, even that fraction of what has already been determined is sufficient e.g., to allow impaired people to regain control on their lives and significantly improve its quality. The more is discovered in this domain, the more benefit for all of us this can potentially bring.

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“…EEG signals can be measured, e.g., in basic medical research [ 111 , 112 ], for neurofeedback or biofeedback training, for medical applications, or in many cases be used as an HMI, mostly used to control prostheses, a robotic hand or a wheelchair, based on Arduino or Raspberry Pi [ 113 , 114 , 115 , 116 , 117 , 118 ]. This is why there is even an OpenEEG project suggesting hardware and software for EEG measurements [ 119 ].…”

Section: Eeg Measurementsmentioning

confidence: 99%

Measuring Biosignals with Single Circuit Boards

Ehrmann¹,

Błachowicz

Homburg

et al. 2022

Bioengineering

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To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.

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Implementation of Bi-fractional Filtering on the Arduino Uno Hardware Platform

Cited by 16 publications

References 24 publications

Cargo Simulation Robot Prototype with Bluetooth Based Motor Driver Shield Using Arduino Uno Microcontroller

Cargo Simulation Robot Prototype with Bluetooth Based Motor Driver Shield Using Arduino Uno Microcontroller

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

Measuring Biosignals with Single Circuit Boards

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