Assistive Technology and Biomechatronics Engineering
Download Url(s)
https://mdpi.com/books/pdfview/book/6650Contributor(s)
Kiyota, Kimiyasu (editor)
Shionoya, Akira (editor)
Inoue, Mitsuteru (editor)
Language
EnglishAbstract
This Special Issue will focus on assistive technology (AT) to address biomechanical and control of movement issues in individuals with impaired health, whether as a result of disability, disease, or injury. All over the world, technologies are developed that make human life richer and more comfortable. However, there are people who are not able to benefit from these technologies. Research can include development of new assistive technology to promote more effective movement, the use of existing technology to assess and treat movement disorders, the use and effectiveness of virtual rehabilitation, or theoretical issues, such as modeling, which underlie the biomechanics or motor control of movement disorders. This Special Issue will also cover Internet of Things (IoT) sensing technology and nursing care robot applications that can be applied to new assistive technologies. IoT includes data, more specifically gathering them efficiently and using them to enable intelligence, control, and new applications.
Keywords
human–computer interface; human movement analysis; cerebral palsy; hidden Markov model; assistive technology; visually impaired support; education of engineers; text reading; medical engineering; medical assistance; multivariate analysis; sleep apnea syndrome; orthostatic regulation disorder; single-cell analysis; isomotive dielectrophoresis; insulator-based dielectrophoresis; particle tracking velocimetry; particle characterization; myoelectric potential; deep learning; camera; inertia sensor; emotion tagging; mood management; Japanese song lyrics; search engine; COPD; frailty; home-care patients; health monitoring; physical activity; anaerobic threshold; inflection-point exploration; strucchange; ventilation expired gas volume; excess CO2 production; parasports; competitive wheelchair; sEMG; iEMG; muscle activation; seat pressure; B-mode ultrasound images; liver cirrhosis classification; convolution neural networks; image correction; image quality improvement; inverse of tone curves; tone curves; biofilm; sensors; impedance; EPS; Raman spectroscopy; fatigue; visual simulator; human standing posture; center of pressure; anticipatory postural adjustmentsWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036564135, 9783036564128Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Information technology industries