Cargando…

Improving Fall Detection Using an On-Wrist Wearable Accelerometer

Fall detection is a very important challenge that affects both elderly people and the carers. Improvements in fall detection would reduce the aid response time. This research focuses on a method for fall detection with a sensor placed on the wrist. Falls are detected using a published threshold-base...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khojasteh, Samad Barri, Villar, José R., Chira, Camelia, González, Víctor M., de la Cal, Enrique
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982860/ https://www.ncbi.nlm.nih.gov/pubmed/29701721 http://dx.doi.org/10.3390/s18051350

Ejemplares similares

Detecting Gunshots Using Wearable Accelerometers
por: Loeffler, Charles E.
Publicado: (2014)

Free-Living Gait Cadence Measured by Wearable Accelerometers for Assessing Fall Risk
por: Urbanek, Jacek, et al.
Publicado: (2021)

Parkinson’s Disease Tremor Detection in the Wild Using Wearable Accelerometers
por: San-Segundo, Rubén, et al.
Publicado: (2020)

Detection of Parkinson’s Disease Using Wrist Accelerometer Data and Passive Monitoring
por: Rastegari, Elham, et al.
Publicado: (2022)

Online Fall Detection Using Wrist Devices
por: Marques, João, et al.
Publicado: (2023)

Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
por: Bagalà, Fabio, et al.
Publicado: (2012)

Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer Sensors
por: Kocuvan, Primož, et al.
Publicado: (2023)

Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks
por: Santos, Guto Leoni, et al.
Publicado: (2019)

Analysis of Public Datasets for Wearable Fall Detection Systems
por: Casilari, Eduardo, et al.
Publicado: (2017)

Validation of the Vivago Wrist-Worn accelerometer in the assessment of physical activity
por: Vanhelst, Jérémy, et al.
Publicado: (2012)

Compliance with wrist-worn accelerometers in primiparous early postpartum women
por: Wolpern, Ali E., et al.
Publicado: (2019)

Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities
por: Kwon, Soyang, et al.
Publicado: (2019)

Activity Monitoring with a Wrist-Worn, Accelerometer-Based Device
por: Lin, Wen-Yen, et al.
Publicado: (2018)

Reconstruction of the respiratory signal through ECG and wrist accelerometer data
por: Leube, Julian, et al.
Publicado: (2020)

Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer
por: Sucerquia, Angela, et al.
Publicado: (2018)

Wearable accelerometer-derived physical activity and incident disease
por: Khurshid, Shaan, et al.
Publicado: (2022)

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
por: Palmerini, Luca, et al.
Publicado: (2020)

Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection
por: Kundinger, Thomas, et al.
Publicado: (2020)

Wrist deformity following falling down
por: Lee, Chih-Yao, et al.
Publicado: (2022)

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection
por: Putra, I Putu Edy Suardiyana, et al.
Publicado: (2017)

Event-Centered Data Segmentation in Accelerometer-Based Fall Detection Algorithms
por: Šeketa, Goran, et al.
Publicado: (2021)

Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors
por: Delahoz, Yueng Santiago, et al.
Publicado: (2014)

Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments
por: Kwon, Soyang, et al.
Publicado: (2019)

Sleep Measurement Using Wrist-Worn Accelerometer Data Compared with Polysomnography
por: Chase, John D., et al.
Publicado: (2022)

COMPARISON OF SLEEP PARAMETERS FROM WRIST-WORN ACCELEROMETERS IN OLDER ADULTS
por: Liu, Fangyu, et al.
Publicado: (2022)

Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning
por: Wasselius, Johan, et al.
Publicado: (2021)

Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location
por: Alves, José, et al.
Publicado: (2019)

Comparison of a new wrist-worn accelerometer with a commonly used triaxial accelerometer under free-living conditions
por: Sasaki, Sachiko, et al.
Publicado: (2018)

Intelligent Wearable Wrist Pulse Detection System Based on Piezoelectric Sensor Array
por: Liu, Yan-Yun, et al.
Publicado: (2023)

A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems
por: González-Cañete, Francisco Javier, et al.
Publicado: (2021)

Enhanced Algorithm for the Detection of Preimpact Fall for Wearable Airbags
por: Jung, Haneul, et al.
Publicado: (2020)

Smart Wearables with Sensor Fusion for Fall Detection in Firefighting
por: Chai, Xiaoqing, et al.
Publicado: (2021)

Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects
por: Ramirez, Veronica, et al.
Publicado: (2018)

Wrist accelerometer shape feature derivation methods for assessing activities of daily living
por: Kheirkhahan, Matin, et al.
Publicado: (2018)

Sleep classification from wrist-worn accelerometer data using random forests
por: Sundararajan, Kalaivani, et al.
Publicado: (2021)

Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth
por: Trost, Stewart G., et al.
Publicado: (2022)

Can Gait Characteristics Be Represented by Physical Activity Measured with Wrist-Worn Accelerometers?
por: Lin, Wenyi, et al.
Publicado: (2023)

Unsupervised Early Detection of Physical Activity Behaviour Changes from Wearable Accelerometer Data
por: Diaz, Claudio, et al.
Publicado: (2022)

Experiment Study for Wrist-Wearable Electro-Tactile Display
por: Lu, Xiong, et al.
Publicado: (2021)

Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
por: Lin, Wen-Yen, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_snuhpm09g3curfisfnjkt3bj7h