Grant: Discovery Grants Program - Individual
The University of Western Ontario
$39,000.00
Wearable Mechatronic Garments for Motion Assistance
EF 2024-25
Résumé
Wearable mechatronic devices are being designed for restoring human ability, enhancing human performance, and as interfaces to intelligent systems. In order to achieve their full potential, research is required to improve their wearability by making them lighter and more responsive to human needs. For this purpose, the proposed research program focuses on solving the engineering challenges associated with the development of wearable mechatronic garments for upper body motion assistance.
To address the limitations of the current technology, the short-term objectives of the proposed research are as follows:
1. To design novel actuators. To reduce device weight and bulk, reduce power requirements, and match human motion characteristics, novel actuation technologies, including twisted coiled actuators and piezoelectric actuators will be designed and optimized.
2. To develop advanced data processing techniques. Fusion techniques that combine various modes of sensing and new muscle and brain activity sensing modalities will be implemented. Data processing techniques will be developed to allow sensed data to be used as input to advanced control systems.
3. To design intelligent controllers. Algorithms will be developed that use biosignals as inputs in order to provide supplementary information to the device controller, such as the type of motion, the speed, and the force produced by the muscles. The control system intelligence will be advanced through the use of these extra inputs that will allow it to select the most efficient control scheme for a given condition.
4. To create distributed mechatronic systems. Research into the development of distributed network systems, composed of various mechatronic hubs within a garment, will be performed to maximize device control, reduce weight and intrusiveness, and allow for the customization of modular components.
The outcomes of the proposed research over the next 5 years will lead to significant contributions to the field of mechatronic devices that work in close proximity to humans, enabling an expansion of the research field through the development of better actuation systems, sensors, and control systems that automatically respond to humans safely. In the long-term, the proposed research will result in smart mechatronic garments that are capable of constantly monitoring the body and automatically providing motion support, adapted to each user according to body size and shape, strength, the presence of injury, and the desired action. To succeed with the proposed work, equity, diversity and inclusion criteria will be considered when hiring research personnel, when recruiting participants, when analyzing the data, and in the development and translation of the technology. A collaborative approach will be taken to consider the needs of the users and other key stakeholders, including industry partners.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2020-05648
Name nom
Trejos, Ana Luisa
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
36
Institution établissement
The University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
39000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Wearable Mechatronic Garments for Motion Assistance
Keywords
wearable mechatronics; smart garments; sensors and signals; actuator design; control system design; human machine interface; machine learning; modelling of human motion; motion support devices; low-profile actuators
Application summary
Wearable mechatronic devices are being designed for restoring human ability, enhancing human performance, and as interfaces to intelligent systems. In order to achieve their full potential, research is required to improve their wearability by making them lighter and more responsive to human needs. For this purpose, the proposed research program focuses on solving the engineering challenges associated with the development of wearable mechatronic garments for upper body motion assistance.
To address the limitations of the current technology, the short-term objectives of the proposed research are as follows:
1. To design novel actuators. To reduce device weight and bulk, reduce power requirements, and match human motion characteristics, novel actuation technologies, including twisted coiled actuators and piezoelectric actuators will be designed and optimized.
2. To develop advanced data processing techniques. Fusion techniques that combine various modes of sensing and new muscle and brain activity sensing modalities will be implemented. Data processing techniques will be developed to allow sensed data to be used as input to advanced control systems.
3. To design intelligent controllers. Algorithms will be developed that use biosignals as inputs in order to provide supplementary information to the device controller, such as the type of motion, the speed, and the force produced by the muscles. The control system intelligence will be advanced through the use of these extra inputs that will allow it to select the most efficient control scheme for a given condition.
4. To create distributed mechatronic systems. Research into the development of distributed network systems, composed of various mechatronic hubs within a garment, will be performed to maximize device control, reduce weight and intrusiveness, and allow for the customization of modular components.
The outcomes of the proposed research over the next 5 years will lead to significant contributions to the field of mechatronic devices that work in close proximity to humans, enabling an expansion of the research field through the development of better actuation systems, sensors, and control systems that automatically respond to humans safely. In the long-term, the proposed research will result in smart mechatronic garments that are capable of constantly monitoring the body and automatically providing motion support, adapted to each user according to body size and shape, strength, the presence of injury, and the desired action. To succeed with the proposed work, equity, diversity and inclusion criteria will be considered when hiring research personnel, when recruiting participants, when analyzing the data, and in the development and translation of the technology. A collaborative approach will be taken to consider the needs of the users and other key stakeholders, including industry partners.