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Article History

Received: 10 October 2024

Accepted: 5 March 2025

First Online: 17 March 2025

Declarations

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: This study focuses on the development of human posture recognition technology, for which we conducted specialized data collection. Hereby, we solemnly declare: The data collection and research process for the study were conducted at Changchun University. Dongni Li, as Dr. Zhiguo Xiao's doctoral supervisor, provided support in the design of research methods and the resolution of key issues. During the data collection process, we provided each participant with a detailed explanation of the study's purpose, procedures, and potential risks, and obtained their voluntarily signed written informed consent. We ensured participants' right to be informed of the study's progress at any time, and they also have the freedom to withdraw unconditionally at any stage. We highly value the privacy rights of participants and have strictly anonymized all collected data. By deleting or encrypting data, we ensured that the dataset contains no information traceable to individual identities. This research protocol has undergone rigorous review by the [Changchun University/Institutional Ethics Review Board] and received formal approval, ensuring the study's legality and ethical compliance. We adhere to the principles of research integrity and commit that the results of this study will be presented based on genuine and reliable data, without any form of fabrication, falsification, or misleading practices, to maintain the study's objectivity and accuracy. Please adjust the specific content in the above template and case according to the actual research situation and the ethical review process of your institution. When writing the ethical statement, ensure the statement's authenticity and accuracy to reflect the research team's respect for and adherence to ethical standards.

: We invite you to participate in a study on Limb movement detection and analysis based on Visual Human Posture Recognition, with the aim of designing and implementing more robust and accurate human motion assessment techniques. Before participating, you need to know the following information: Location: The data collection and personnel for the study were conducted at Changchun University. Research process: You will participate in the collection and preprocessing of human movements. Risks and discomforts: The potential risks and discomforts associated with participating in this study have not yet been identified. Data confidentiality: Your personal information and research data will be strictly kept confidential and used only for the purpose of this study. Voluntary participation: Participation in this study is completely voluntary, and you have the right to withdraw at any time without giving any reason. Contact information: If you have any questions or discomfort, please contact Dr. Zhiguo Xiao. All individuals participating in this study voluntarily provided written informed consent after fully understanding the research purpose, process, and potential risks. We ensure that participants have the right to be informed of research progress at any time and have the right to unconditionally withdraw from the study at any time. All participating researchers agree to publish this achievement.

: The authors declare no competing interests.