Program at a glance

Time Tuesday, November 14th  Wednesday, November 15th 
8:30‐9:30  Registration Registration
9:30‐11:15  T1: Data Analysis W1: Systems
11:15‐11:30  Coffe Break Coffe Break
11:30‐12:00  T2: Work‐in‐Progress W2: Work‐in‐Progress
12:00‐13:00  Lunch Lunch
13:00‐14:00  T3: Keynote Speech W3: Special Session – Panel

Pervasive and wearable health monitoring

14:00‐15:45  T4: Workshop: APHS W4: Workshop: D4H
15:45‐16:15  Coffe Break Coffe Break
16:15‐18:00 T5: Special Session: ASWM W5: Sensors & Circuits
 19:00-22:00 Gala Dinner*

*provided transportation from the hotel at 18:15 by a booked bus.

Note: The following order would be determined later and the presenters should attend the entire session. Duration of the each presentation is 15 minutes for the regular sessions and 5 minutes for Work-in-Progress papers.

Systems

  • Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment
  • Large-Scale Continuous Mobility Monitoring of Parkinson’s Disease Patients Using Smartphones
  • Design and Development of the MedFit App: A Mobile Application for Cardiovascular Disease
    Rehabilitation
  • Medication event monitoring system for infectious tuberculosis treatment in Morocco
  • Adoption of Mobile Apps for Mental Health: Socio-Psychological and Technological Factors

Sensors & Circuits

  • Ultra Low Power Programmable Wireless ExG SoC Design for IoT Healthcare System
  • Channel Modeling of in-vivo THz Nanonetworks: State-of-the-art and Research Challenges
  • Designing and Evaluating a Vibrotactile Language for Sensory Substitution Systems
  • Online Monitoring of Posture for Preventive Medicine using Low-Cost Inertial Sensors
  • Energy Harvesting Based Glucose Sensor

Data Analysis

  • A Novel Algorithm to Reduce Machine Learning Efforts in Real-Time Sensor Data Analysis
  • A Method for Simplifying HRQOL measurement by Smart Devices
  • An Open, Labeled Dataset for Analysis and Assessment of Human Motion
  • WatcherEye: Skeleton-Based 3D System for Fall Detection of the Physically-Disabled Cane User
  • A virtual reality-based physical and cognitive training system aimed at preventing symptoms of
    dementia

D4H

  • Improved Patient Engagement in Self-Management of Health, a Key to Sustainable Preventative
    Healthcare Systems
  • NESTORE: a Multidomain Virtual Coach for Active and Healthy Ageing
  • GeriatricHelper: iterative development of a mobile application to support geriatric assessment
  • A mHealth Patient Passport for Adult Cystic Fibrosis Patients
  • Suitability of Event-Based Prompts in Experience Sampling Studies Focusing on Location Changes

APHS

  • Multi-modal user interface design for a face and voice recognition biometric authentication system
  • Gaze Alignment Techniques for Multipoint Mobile Telemedicine for Ophthalmological Consultations
  • Developing a context-dependent tuning framework of multi-channel biometrics that combine audiovisual
    characteristics for secure access in eHealth platform for osteoarthritis management
  • QuantifyMe: An Automated Single-Case Experimental Design Platform
  • Discriminant Analysis based EMG Pattern Recognition for Hand Function Rehabilitation

ASWM

  • Presentation of a New Sensor Enabling Reliable Real Time Foot Plantar Pressure Distribution
    Retrieval
  • Humans Sensitivity Distribution in Perceptual Space by a Wearable Haptic Sleeve
  • Daily life self-management and self-treatment of musculoskeletal disorders through SHOULPHY
  • Real-time Schizophrenia Monitoring using Wearable Motion Sensitive Devices
  • Smart shoe-based evaluation of gait phase detection accuracy using body-worn accelerometers

T2: WiP 1

  • Comparison of Predictive Equations for Basal Metabolic Rate
  • Secure Mobile Automation of Ecological Momentary Assessments (EMA) For Structured Querying
  • MoodRush: Designing a Language-free Mobile App for Mood Self-assessment

W2: WiP 2

  • Supporting Technologies for Improving Formal Care Management of Senior Patients with Alzheimer’s Disease
  • Are Healthy Older Individuals Ready to Use Smartphones?