ArticleSensors (Basel, Switzerland)2018
Flexible Piezoelectric Sensor-Based Gait Recognition.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Hybrid Piezo-Electromagnetic Device Designed to Harvest the Vibrations of the Human Body.Micromachines · 2025Article
- Advanced Piezoelectric Materials, Devices, and Systems for Orthopedic Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- A Probabilistic Model of Human Activity Recognition with Loose Clothing.Sensors (Basel, Switzerland) · 2023Article
- Comparing Loose Clothing-Mounted Sensors with Body-Mounted Sensors in the Analysis of Walking.Sensors (Basel, Switzerland) · 2022Article
- Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances.Sensors (Basel, Switzerland) · 2022Review
- Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait.Frontiers in neuroscience · 2022Review
- A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Gait Analysis Accuracy Difference with Different Dimensions of Flexible Capacitance Sensors.Sensors (Basel, Switzerland) · 2021Article
- Human Posture Detection Method Based on Wearable Devices.Journal of healthcare engineering · 2021Article
- Multidirectional Cylindrical Piezoelectric Force Sensor: Design and Experimental Validation.Sensors (Basel, Switzerland) · 2020Article
- Recurrent Neural Network for Inertial Gait User Recognition in Smartphones.Sensors (Basel, Switzerland) · 2019Article
- Curve Similarity Model for Real-Time Gait Phase Detection Based on Ground Contact Forces.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most motion recognition research has required tight-fitting suits for precise sensing. However, tight-suit systems have difficulty adapting to real applications, because people normally wear loose clothes. In this paper, we propose a gait recognition system with flexible piezoelectric sensors in loose clothing. The gait recognition system does not directly sense lower-body angles. It does, however, detect the transition between standing and walking. Specifically, we use the signals from the flexible sensors attached to the knee and hip parts on loose pants. We detect the periodic motion component using the discrete time Fourier series from the signal during walking. We adapt the gait detection method to a real-time patient motion and posture monitoring system. In the monitoring system, the gait recognition operates well. Finally, we test the gait recognition system with 10 subjects, for which the proposed system successfully detects walking with a success rate over 93 %.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.