Selecting and Describing Your Research Instruments
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Emerging researchers are often surprised to learn that instrument selection is a complex and important step in the process of research design. This concise guide explains how to identify appropriate instruments, select the best ones for the job, and properly describe the instruments so that others will know how and why they were chosen.
Each chapter in the book focuses on a specific aspect of instrument selection, with illuminating examples and helpful worksheets to fill out along the way. Part of APA's Concise Guides to Conducting Behavioral, Health, and Social Science Research series, this book is aimed at undergraduate students in research methods courses or others with a lab or research project.
Series Foreword
Acknowledgments
Introduction
- Identifying and Defining the Constructs and Variables to Measure
- Types of Instruments
- Identifying Available Instruments
- Gathering Information
- Organizing and Taking Good Notes
- Using the Evidence to Guide Your Selection
- Obtaining Permission and Piloting the Instrument
- Following Ethical Principles and Guidelines
- Describing the Instruments Effectively for Different Audiences
- Troubleshooting
About the Author
About the Series Editor
Kelly McClure, PhD, is associate professor and chair of psychology at La Salle University in Philadelphia, Pennsylvania. She received her doctorate from Drexel University in 2002.
She was a co-editor of Practitioners Guide to Empirically Based Measures of Depression and is currently an associate editor of Clinical Psychology: Science and Practice .
Her main research interests are in social problem solving and coping with cancer.
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EMG Based Human Machine Integration for IoT Based Instruments
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- First Online: 06 September 2024
- Cite this conference paper
- V. Rajesh ORCID: orcid.org/0000-0001-5630-5637 12 ,
- V. Sri Sravan 13 &
- N. Nanda Prakash ORCID: orcid.org/0000-0003-0771-0788 12
Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1029))
Included in the following conference series:
- International Conference on Internet of Everything and Quantum Information Processing
Introducing the application of hand gestures in human-computer interaction, this study presents a novel approach that employs artificial neural networks (ANNs) to analyze muscle activity and distinguish hand movements from electromyograms (EMGs). The emphasis on creating a user-friendly and stress-free environment is reflected in the limitation of EMG detection to three specific muscle groups in the arm. The analysis of EMG signals yields parameters related to the temporal patterns of muscle contractions, each uniquely associated with a specific gesture. An experimental study was conducted to assess the system’s ability to accurately recognize six distinct arm movements. The results demonstrate that the algorithm achieves an impressive 98% accuracy rate in identifying all six motions. One notable advantage of this system is its ease of training and seamless real-time execution once the training process is completed.
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Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522302, A.P., India
V. Rajesh & N. Nanda Prakash
Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522302, A.P., India
V. Sri Sravan
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Aurel Vlaicu University of Arad, Arad, Romania
Valentina E. Balas
Dept. of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India
Kolla Bhanu Prakash
Koneru Lakshmaiah Education Foundation, Vijayawada, Andhra Pradesh, India
G. P. Saradhi Varma
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Rajesh, V., Sravan, V.S., Prakash, N.N. (2024). EMG Based Human Machine Integration for IoT Based Instruments. In: E. Balas, V., Prakash, K.B., Varma, G.P.S. (eds) Proceedings of the International Conference on Internet of Everything and Quantum Information Processing. IEQIP 2023. Lecture Notes in Networks and Systems, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-031-61929-8_4
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Advisor Consultation Checklist Use the checklist below to ensure that you consulted with your advisor during the key steps in the process of selecting and describing your research instruments. 1. _____ Read this checklist. 2. _____ Made an appointment for our first meeting to discuss the instrument selection. 3.
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of conducting the methodology selected. They involved the instrument test try-out and the real instrument test. This chapter includes research design, population and sample, research hypothesis, data collection, the research instruments try out, and data analysis. 3.1 Research Design Since the main purpose of this research is to investigate ...
Each chapter in the book focuses on a specific aspect of instrument selection, with illuminating examples and helpful worksheets to fill out along the way. Part of APA's Concise Guides to Conducting Behavioral, Health, and Social Science Research series, this book is aimed at undergraduate students in research methods courses or others with a ...
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The third gesture is wrist extension (Gesture 3), which involves an outward movement of the wrist. The fourth and final gesture chosen is thumb flexion (Gesture 4), characterized by the thumb bending inward [1,2,3]. Our research findings indicate that, except for minor variations in overall amplitude, both hands produce very similar EMG waveforms.