lightbulbPractical problemGait, Fall, and Mobility Monitoring
Indoor gait recognition systems are complex to deploy and their accuracy is highly environment-dependent.Sensing, Recognition, and Security / Gait, Fall, and Mobility Monitoring
Indoor gait recognition systems are complex to deploy and their accuracy is highly environment-dependent.
Similar questions
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
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.lightbulbPractical problemGait, Fall, and Mobility Monitoring
Activity recognition is inaccurate when users are indoors or when transportation modes are difficult to distinguish.UbiComp '23Ensemble Learning using Motion Sensors and Location for Human Activity Recognition
Related papers
UbiComp 2024
RDGait: A mmWave Based Gait Recognition System for Complex Indoor Environments Using Single-chip Radar
Dequan Wang, Xinran Zhang, Kai Wang
UbiComp 2023
NeuralGait: Assessing Brain Health Using Your Smartphone
Huining Li, Huan Chen, Chenhan Xu
UbiComp 2023
LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System
Duo Zhang, Xusheng Zhang, Shengjie Li
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