ArticleSensors (Basel, Switzerland)2020
Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 38 citations in OpenAlex.
- Improving Fall Classification Accuracy of Multi-Input Models Using Three-Axis Accelerometer and Heart Rate Variability Data.Sensors (Basel, Switzerland) · 2025Article
- Multispectral Imaging-Based System for Detecting Tissue Oxygen Saturation With Wound Segmentation for Monitoring Wound Healing.IEEE journal of translational engineering in health and medicine · 2024Article
- Article
- Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring.Sensors (Basel, Switzerland) · 2022Review
- Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.Sensors (Basel, Switzerland) · 2022Article
- Using Inertial Sensors to Determine Head Motion-A Review.Journal of imaging · 2021Review
- Smart Wearables with Sensor Fusion for Fall Detection in Firefighting.Sensors (Basel, Switzerland) · 2021Article
- A Capacitive 3-Axis MEMS Accelerometer for Medipost: A Portable System Dedicated to Monitoring Imbalance Disorders.Sensors (Basel, Switzerland) · 2021Article
- Observational and Accelerometer Analysis of Head Movement Patterns in Psychotherapeutic Dialogue.Sensors (Basel, Switzerland) · 2021Article
- On the Functional and Extra-Functional Properties of IMU Fusion Algorithms for Body-Worn Smart Sensors.Sensors (Basel, Switzerland) · 2021Article
- Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer's head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick's filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contact in a timely manner to provide help for the falling person. Based on experimental results concerning falling movements and activities of daily living, the proposed system achieved a sensitivity of 96.67% in fall detection, with a specificity of 98.27%, and, therefore, is suitable for detecting falling movements in daily life.
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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.