Albert Vette

Dr. Albert Vette

1. Donadeo Innovation Centre for Engineering, Department of Mechanical Engineering, University of Alberta, 9211 116 Street NW, Edmonton, AB T6G 1H9, Canada
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orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2014 in Physical Medicine and Rehabilitation Clinics of North America
Verified
Journal Article
Closed access
CHChester Ho
Chester Ho
RTRonald Triolo
Ronald Triolo
AEAnastasia Leila Elias
Anastasia Leila Elias
KKKevin L. Kilgore
Kevin L. Kilgore
ADAnthony F. DiMarco
Anthony F. DiMarco
VMVivian K Mushahwar
Vivian K Mushahwar

1 June 2018 in Journal of Electromyography and Kinesiology
Verified
Journal Article
Closed access
AVAïda M. Valevicius
Aïda M. Valevicius
PJPeter Y. Jun
Peter Y. Jun
JHJacqueline S. Hebert
Jacqueline S. Hebert
Albert VetteAlbert Vette
Albert Vette

1 March 2020 in Medical Engineering & Physics
Verified
Journal Article
Closed access
NANoamani Alireza
Noamani Alireza
MNMilad Nazarahari
Milad Nazarahari
JLJustin C Lewicke
Justin C Lewicke
Albert VetteAlbert Vette
Albert Vette
HRHossein Rouhani
Hossein Rouhani
Observational balance tests (e.g., Berg Balance Scale) are used to evaluate fall-risk. However, they tend to be subjective, and their reliability and sensitivity can be limited. The use of in-lab equipment for objective balance evaluation has not been common in clinical practice, due to the requirement of an equipped lab space. While inertial measurement units (IMUs) enable objective out-of-lab balance assessment, their accuracy has not been validated. This study aims to investigate the accuracy of IMUs against in-lab equipment for characterizing standing balance. Ten non-disabled individuals participated in a two-minute standing test on a force-plate. Four approaches were used for estimating inter-segmental moments and center of pressure (COP) position in a four-segment model: (1) camera-based bottom-up approach; (2) camera-based top-down approach; (3) IMU-based (accelerometer) top-down approach; and (4) IMU-based (accelerometer and gyroscope) top-down approach. Approaches 2 to 4 resulted in high accuracy compared to the reference, Approach 1. The root-mean-square errors in estimating the segments' orientation, ground reaction forces, COP position, and joint moments were smaller than 0.3°, 0.2 N/kg, 1.5 mm, and 0.016N·m/kg, respectively. Since no significant differences were observed between the accuracy of Approaches 3 and 4, only accelerometer recordings are needed and could be recommended for monitoring standing balance.

1 June 2018 in Journal of Vision
Verified
Journal Article
Open access
PDF file
ELEwen B. Lavoie
Ewen B. Lavoie
AVAïda M. Valevicius
Aïda M. Valevicius
QBQuinn A. Boser
Quinn A. Boser
OKOgnjen Kovic
Ognjen Kovic
Albert VetteAlbert Vette
Albert Vette
CCCraig S. Chapman
Craig S. Chapman
This study explores the role that vision plays in sequential object interactions. We used a head-mounted eye tracker and upper-limb motion capture to quantify visual behavior while participants performed two standardized functional tasks. By simultaneously recording eye and motion tracking, we precisely segmented participants' visual data using the movement data, yielding a consistent and highly functionally resolved data set of real-world object-interaction tasks. Our results show that participants spend nearly the full duration of a trial fixating on objects relevant to the task, little time fixating on their own hand when reaching toward an object, and slightly more time—although still very little—fixating on the object in their hand when transporting it. A consistent spatial and temporal pattern of fixations was found across participants. In brief, participants fixate an object to be picked up at least half a second before their hand arrives at the object and stay fixated on the object until they begin to transport it, at which point they shift their fixation directly to the drop-off location of the object, where they stay fixated until the object is successfully released. This pattern provides additional evidence of a common system for the integration of vision and object interaction in humans, and is consistent with theoretical frameworks hypothesizing the distribution of attention to future action targets as part of eye and hand-movement preparation. Our results thus aid the understanding of visual attention allocation during planning of object interactions both inside and outside the field of view.

1 April 2018 in Journal of Biomechanics
Verified
Journal Article
Closed access
QBQuinn A. Boser
Quinn A. Boser
AVAïda M. Valevicius
Aïda M. Valevicius
ELEwen B. Lavoie
Ewen B. Lavoie
CCCraig S. Chapman
Craig S. Chapman
PPPatrick M. Pilarski
Patrick M. Pilarski
Albert VetteAlbert Vette
Albert Vette

1 March 2019 in Gait & Posture
Verified
Journal Article
Closed access
AVAïda M. Valevicius
Aïda M. Valevicius
QBQuinn A. Boser
Quinn A. Boser
ELEwen B. Lavoie
Ewen B. Lavoie
CCCraig S. Chapman
Craig S. Chapman
PPPatrick Pilarski
Patrick Pilarski
Albert VetteAlbert Vette
Albert Vette