• Challenges and Opportunities in evolving TreC Personal Health Record Platform

  • The Challenges of Individuality to Technology Approaches to Personally Collected Health Data

  • Examining Methods to Estimate Static Body Sway from the Kinect V2.0 Skeletal Data: Implications for Clinical Rehabilitation

  • Exploring Clinical Correlations in Centroid-Based Gait Metrics from Depth Data Collected in the Home

  • Understanding Self-Reflection: How People Reflect on Personal Data Through Visual Data Exploration

  • Validation of a Motion Capture Suit for Clinical Gait Analysis

  • Differences That Matter: In-Clinic Communication Challenges

  • Supporting Shoulder Pain Prevention and Treatment with Wearable Technology

  • Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study

  • Endocrine EConsults Improve Access to Care for the Underserved

  • The Toronto Rehab Stroke Pose Dataset to Detect Compensation during Stroke Rehabilitation Therapy

  • Ontological Modeling of Motivational Messages for Physical Activity Coaching

  • Designing data-driven interventions for mental health care

  • Sonic therapy for anxiety management in clinical settings

  • “Let Me Know If You Need Anything”: Support Realities of New Mothers

  • Sharing Automatically Tracked Activity Data: Implications for Therapists and People with Mobility Impairments

  • SuperNurse: Nurses’ Workarounds Informing the Design of Interactive Technologies for Home Wound Care

  • Did you Remember to Brush? : A Noninvasive Wearable Approach to Recognizing Brushing Teeth for Elderly Care

  • Design Considerations for Semi-Automated Tracking: Self-Care Plans in Spinal Cord Injury

  • Exploring Stroke-Associated Hemiparesis Assessment with Support Vector Machines

  • Intergenerational Sharing of Health Data among Family Members

  • KinRes: Depth Sensor Noise Reduction in Contactless Respiratory Monitoring

  • Is Fitbit Fit for Sleep-Tracking? Sources of Measurement Errors and Proposed Countermeasures

  • Novel Framework Combining Health Records with Medical Algorithms

  • OpenTele+ for Extending Telemedicine with Pervasive Healthcare Features