lightbulbPractical problemGait, Fall, and Mobility Monitoring
Clinicians struggle to use wearable device data to accurately assess patients' gait changes in real-world settings.Sensing, Recognition, and Security / Gait, Fall, and Mobility Monitoring
Clinicians struggle to use wearable device data to accurately assess patients' gait changes in real-world settings.
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lightbulbPractical problemGait, Fall, and Mobility Monitoring
Patients struggle to collect long, straight gait data at home for accurate gait cycle segmentation.UbiComp '24GCCRR: A Short Sequence Gait Cycle Segmentation Method Based on Ear-Worn IMU
lightbulbPractical problemGait, Fall, and Mobility Monitoring
Knee osteoarthritis patients struggle to conveniently monitor joint loading and muscle strength during gait.UbiComp '24KneeGuard: A Calibration-free Wearable Monitoring System for Knee Osteoarthritis Gait Re-training via Effortless Wearing
lightbulbPractical problemGait, Fall, and Mobility Monitoring
Existing wristbands cannot accurately count steps when pushing shopping carts or making random arm movements.UbiComp '24Earable and Wrist-worn Setup for Accurate Step Counting Utilizing Body-Area Electrostatic Sensing
lightbulbPractical problemGait, Fall, and Mobility Monitoring
Indoor gait recognition systems are complex to deploy and their accuracy is highly environment-dependent.lightbulbPractical problemGait, Fall, and Mobility Monitoring
Users lack convenient, low-cost methods to assess their own brain health risk.lightbulbPractical problemGait, Fall, and Mobility Monitoring
Older adults who fall and cannot be rescued promptly may face life-threatening consequences.Related papers
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LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System
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CHI 2022
'Are They Doing Better In The Clinic Or At Home': Understanding Clinicians? Needs When Visualizing Wearable Sensor Data Used In Remote Gait Assessments For People With Multiple Sclerosis
Ayanna Seals, Giuseppina Pilloni, Jin Kim