Grant: Research Tools and Instruments - Category 1 (<$150,000)
Queen's University
$56,436.00
Ambulatory inertial sensor-based motion analysis system
EF 2009-10
Résumé
This multi-user application is for an ambulatory miniature inertial sensor-based motion analysis system. This device will allow for the expansion of the existing research in Motion Analysis at the Human Mobility Research Centre (HMRC) and is essential for establishing Dr. Li's research program on energy efficient wearable lower-limb robotic devices at Queen's University. The Xsens system is a camera-less system and is capable of measuring 3D kinematics in a daily living environment; therefore this system will allow the research to go beyond the restrictions of a lab setting.
Walking, while easily accomplished by a healthy individual, is often a difficult task for the elderly or physically impaired. With our elderly population increasing, there is a growing demand for assistive devices to improve their quality of life. Dr. Li's proposed research seeks to develop un-tethered, energy efficient, wearable lower-limb robotic devices to assist walking in everyday life. His research will incorporate a previously developed energy harvesting technology with robotic power assistance to develop energy efficient robotic devices. The first aim is to design a wearable knee robotic device that is capable of assisting knee motion in one portion of a gait cycle and harvesting energy in the other portions of the gait cycle. The second aim is to develop a bi-articular wearable robotic device with a knee joint and a hip joint to allow energy exchange between these two joints. The third aim is to develop real time walking speed and terrain estimation methods for wearable robot intelligent control using wearable sensors. The requested equipment is essential for his research program. The requested equipment will complement a CFI infrastructure grant application of a Bio-Mechantronics and Rehabilitation Laboratory, and consequently increase the impact of CFI and NSERC investments. This equipment will support graduate student training in Mechanical and Materials Engineering, Physiotherapy, and Kinesiology as well as clinician-scientists, residents and fellows in Orthopaedics.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
390500-2010
Name nom
Li, Qingguo
Department département
Mechanical and Materials Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2010
Award amount
56436
Program id
EQPEQ
Program nane en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1903
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomechanics
Research subject fr
Biomécanique
Partie
1
Nb partie
1
Application title
Ambulatory inertial sensor-based motion analysis system
Keyword
NA
Application summary
This multi-user application is for an ambulatory miniature inertial sensor-based motion analysis system. This device will allow for the expansion of the existing research in Motion Analysis at the Human Mobility Research Centre (HMRC) and is essential for establishing Dr. Li's research program on energy efficient wearable lower-limb robotic devices at Queen's University. The Xsens system is a camera-less system and is capable of measuring 3D kinematics in a daily living environment; therefore this system will allow the research to go beyond the restrictions of a lab setting.
Walking, while easily accomplished by a healthy individual, is often a difficult task for the elderly or physically impaired. With our elderly population increasing, there is a growing demand for assistive devices to improve their quality of life. Dr. Li's proposed research seeks to develop un-tethered, energy efficient, wearable lower-limb robotic devices to assist walking in everyday life. His research will incorporate a previously developed energy harvesting technology with robotic power assistance to develop energy efficient robotic devices. The first aim is to design a wearable knee robotic device that is capable of assisting knee motion in one portion of a gait cycle and harvesting energy in the other portions of the gait cycle. The second aim is to develop a bi-articular wearable robotic device with a knee joint and a hip joint to allow energy exchange between these two joints. The third aim is to develop real time walking speed and terrain estimation methods for wearable robot intelligent control using wearable sensors. The requested equipment is essential for his research program. The requested equipment will complement a CFI infrastructure grant application of a Bio-Mechantronics and Rehabilitation Laboratory, and consequently increase the impact of CFI and NSERC investments. This equipment will support graduate student training in Mechanical and Materials Engineering, Physiotherapy, and Kinesiology as well as clinician-scientists, residents and fellows in Orthopaedics.
