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Sensing, Recognition, and Security / Gait, Fall, and Mobility Monitoring

Existing wristbands cannot accurately count steps when pushing shopping carts or making random arm movements.

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

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

Indoor gait recognition systems are complex to deploy and their accuracy is highly environment-dependent.

UbiComp '24RDGait: A mmWave Based Gait Recognition System for Complex Indoor Environments Using Single-chip Radar

lightbulbPractical problemGait, Fall, and Mobility Monitoring

Users lack convenient, low-cost methods to assess their own brain health risk.

UbiComp '23NeuralGait: Assessing Brain Health Using Your Smartphone

lightbulbPractical problemGait, Fall, and Mobility Monitoring

Older adults who fall and cannot be rescued promptly may face life-threatening consequences.

UbiComp '23LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System

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

RDGait: A mmWave Based Gait Recognition System for Complex Indoor Environments Using Single-chip Radar

Dequan Wang, Xinran Zhang, Kai Wang

NeuralGait: Assessing Brain Health Using Your Smartphone

Huining Li, Huan Chen, Chenhan Xu

LT-Fall: The Design and Implementation of a Life-threatening Fall Detection and Alarming System

Duo Zhang, Xusheng Zhang, Shengjie Li

'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