Smart Prosthetics Controller Types: Review DOI Creative Commons
Ali Ahmed, Yousif Al Mashhadany, R. Badlishah Ahmad

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(2), P. 131 - 154

Published: Dec. 15, 2024

Advanced prosthetics are a crucial aspect of rehabilitation technology and receiving increased attention globally. Approximately 2 million people require prosthetic limbs, presenting opportunities for enhancing their quality life. State-of-the-art technologies such as realistic arms myoelectric prostheses gaining popularity. Progress in sensor technology, artificial intelligence, materials has driven the field forward. Various types controllers, including direct, pattern recognition, proportional-derivative, have been developed. Integration material science, computer neurology facilitated controller advancements. Techniques like targeted muscle reinnervation Osseo integrated offer improved surgical options. Gesture recognition intelligent sensors hand control. Future advancements will involve machine learning, sensing techniques, while ethical concerns must be addressed. prostheses, also known myocontrolled or lower-limb micromod investigative patient acceptance rate 75% to 80%. However, these methods advantages, there drawbacks. Integrating different controllers smart overall device's strength robustness significant impact. This discussion focuses on various dividing activity into extracellular potential EEG signals

Language: Английский

Construction 5.0 and Sustainable Neuro-Responsive Habitats: Integrating the Brain–Computer Interface and Building Information Modeling in Smart Residential Spaces DOI Open Access

Amjad Almusaed,

İbrahim Yitmen, Asaad Almssad

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9393 - 9393

Published: Oct. 29, 2024

This study takes a unique approach by investigating the integration of Brain–Computer Interfaces (BCIs) and Building Information Modeling (BIM) within residential architecture. It explores their combined potential to foster neuro-responsive, sustainable environments framework Construction 5.0. The methodological involves real-time BCI data subjective evaluations occupants’ experiences elucidate cognitive emotional states. These inform BIM-driven alterations that facilitate adaptable, customized, sustainability-oriented architectural solutions. results highlight ability BCI–BIM create dynamic, occupant-responsive enhance well-being, promote energy efficiency, minimize environmental impact. primary contribution this work is demonstration viability neuro-responsive architecture, wherein input from enables modifications designs. technique enhances built environments’ flexibility user-centered quality integrating occupant preferences mental states into design process. Furthermore, BIM technologies has significant implications for advancing sustainability facilitating energy-efficient ecologically responsible areas. offers practical insights architects, engineers, construction professionals, providing method implementing systems user experience practices. research examines ethical issues concerning privacy, security, informed permission, ensuring these adhere moral legal requirements. underscores transformational while acknowledging challenges related interoperability, integrity, scalability. As result, ongoing innovation rigorous supervision are crucial effectively technologies. findings provide industry offering roadmap developing intelligent ethically sound

Language: Английский

Citations

2

Smart Prosthetics Controller Types: Review DOI Creative Commons
Ali Ahmed, Yousif Al Mashhadany, R. Badlishah Ahmad

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(2), P. 131 - 154

Published: Dec. 15, 2024

Advanced prosthetics are a crucial aspect of rehabilitation technology and receiving increased attention globally. Approximately 2 million people require prosthetic limbs, presenting opportunities for enhancing their quality life. State-of-the-art technologies such as realistic arms myoelectric prostheses gaining popularity. Progress in sensor technology, artificial intelligence, materials has driven the field forward. Various types controllers, including direct, pattern recognition, proportional-derivative, have been developed. Integration material science, computer neurology facilitated controller advancements. Techniques like targeted muscle reinnervation Osseo integrated offer improved surgical options. Gesture recognition intelligent sensors hand control. Future advancements will involve machine learning, sensing techniques, while ethical concerns must be addressed. prostheses, also known myocontrolled or lower-limb micromod investigative patient acceptance rate 75% to 80%. However, these methods advantages, there drawbacks. Integrating different controllers smart overall device's strength robustness significant impact. This discussion focuses on various dividing activity into extracellular potential EEG signals

Language: Английский

Citations

0