Innovative Approaches in Assistive Technology and Rehabilitation
A special issue of Bioengineering (ISSN 2306-5354).
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 397
Special Issue Editor
Interests: assistive robot; wheelchair-mounted robot; human–robot interaction; robot for upper extremity rehabilitation; human following weight carrying robot; robot companion; standards for rehabilitation robot
Special Issue Information
Dear Colleagues,
This Special Issue aims to gather cutting-edge research papers that showcase novel methodologies and advancements in the field of assistive technology (AT) and rehabilitation. This Special Issue will provide a platform for scientists, engineers, clinicians, and researchers to disseminate their contributions towards enhancing the quality of life for individuals with disabilities or impairments through innovative assistive technology applications and effective rehabilitation strategies.
This Special Issue invites original research papers, reviews, and case studies that explore various aspects of assistive technology and rehabilitation, addressing both technical and clinical perspectives. The scope includes, but is not limited to:
- Novel Assistive Technologies: Manuscripts focusing on the development and evaluation of novel assistive devices, wearable technologies, and robotic systems intended to augment the capabilities of individuals with physical or cognitive impairments.
- Human–Machine Interfaces: Research papers that discuss innovative approaches in the design and implementation of intuitive and user-friendly interfaces, allowing seamless interaction between individuals and assistive technologies.
- Rehabilitation Strategies: Studies focusing on state-of-the-art rehabilitation techniques, interventions, and therapies, including but not limited to physical therapy, occupational therapy, speech therapy, and cognitive rehabilitation.
- Artificial Intelligence and Machine Learning: Contributions that investigate the utilization of AI and machine learning techniques in assistive technology, rehabilitation assessments, personalized treatment planning, data analysis, and predictive modeling.
- User Experience and User-Centered Design: Manuscripts addressing user-centric design principles, usability assessment, technology acceptance, and incorporating end-users' perspectives in the development and deployment of assistive technology and rehabilitation programs.
- Clinical Translation and Impact Assessment: Research papers focusing on the clinical implementation, effectiveness evaluation, and real-world impact assessment of innovative assistive technologies and rehabilitation interventions.
Dr. Hongwu Wang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- assistive technology
- rehabilitation
- human–machine interfaces
- novel technologies
- artificial intelligence
- machine learning
- user experience
- user-centered design
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