User profiles for Sonya Allin
Sonya AllinUniversity of Toronto Verified email at utoronto.ca Cited by 673 |
Measuring just noticeable differences for haptic force feedback: implications for rehabilitation
Describes preliminary work in the use of a virtual environment to derive just noticeable
differences (JNDs) for force. Specifically, we look for thresholds of force sensitivity so that we may …
differences (JNDs) for force. Specifically, we look for thresholds of force sensitivity so that we may …
[HTML][HTML] Web-based health coaching for spinal cord injury: results from a mixed methods feasibility evaluation
S Allin, J Shepherd, T Thorson, J Tomasone… - JMIR rehabilitation …, 2020 - rehab.jmir.org
Background: Individuals with spinal cord injury (SCI) are at high risk of experiencing
secondary conditions like pressure injuries. Self-management programs may reduce the risk of …
secondary conditions like pressure injuries. Self-management programs may reduce the risk of …
[HTML][HTML] Participatory design of an online self-management tool for users with spinal cord injury: qualitative study
S Allin, J Shepherd, J Tomasone, S Munce… - JMIR rehabilitation …, 2018 - rehab.jmir.org
Background: Rehospitalization rates resulting from secondary conditions in persons with
spinal cord injuries (SCI) are high. Self-management programs for many chronic conditions …
spinal cord injuries (SCI) are high. Self-management programs for many chronic conditions …
[HTML][HTML] Web-based peer support interventions for adults living with chronic conditions: scoping review
Background Globally, 1 in 3 adults live with multiple chronic conditions. Thus, effective
interventions are needed to prevent and manage these chronic conditions and to reduce the …
interventions are needed to prevent and manage these chronic conditions and to reduce the …
Recent trends in the development and evaluation of assistive robotic manipulation devices
S Allin, E Eckel, H Markham… - Physical Medicine and …, 2010 - pmr.theclinics.com
The last 15 years have seen the development of several robotic arms to support activity and
occupation of individuals with limb loss or motor disabilities. New, lightweight robotic arms, …
occupation of individuals with limb loss or motor disabilities. New, lightweight robotic arms, …
Robust tracking of the upper limb for functional stroke assessment
S Allin, N Baker, E Eckel… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
We present a robust 3-D parts-based (PB) tracking system designed to follow the upper limb
of stroke survivors during desktop activities. This system fits a probabilistic model of the arm …
of stroke survivors during desktop activities. This system fits a probabilistic model of the arm …
Enhanced snake based segmentation of vocal folds
We present a system to segment the medial edges of the vocal folds from stroboscopic video.
The system has two components. The first learns a color transformation that optimally …
The system has two components. The first learns a color transformation that optimally …
The tolerance for visual feedback distortions in a virtual environment
Y Matsuoka, SJ Allin, RL Klatzky - Physiology & behavior, 2002 - Elsevier
We are interested in using a virtual environment with a robotic device to extend the strength
and mobility of people recovering from strokes by steering them beyond what they had …
and mobility of people recovering from strokes by steering them beyond what they had …
Online peer support interventions for chronic conditions: a scoping review protocol
Introduction Peer support is receiving increasing attention as both an effective and cost-effective
intervention method to support the self-management of chronic health conditions. Given …
intervention method to support the self-management of chronic health conditions. Given …
Common Errors in Machine Learning Projects: A Second Look
While machine learning (ML) has proved impactful in many disciplines, design decisions
involved in building ML models are difficult for novices to make, and mistakes can cause harm. …
involved in building ML models are difficult for novices to make, and mistakes can cause harm. …