A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Objective Classification of Dynamic Balance Using a Single Wearable Sensor
2016
Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support
Preserved Fulltext
The Y Balance Test (YBT) is one of the most commonly used dynamic balance assessments in clinical and research settings. ...
This study sought to investigate the ability of a single lumbar inertial measurement unit (IMU) to discriminate between the three YBT reach directions, and between pre and post-fatigue balance performance ...
ACKNOWLEDGMENTS This study was funded by the Science Foundation of Ireland (12/RC/2289). ...
doi:10.5220/0006079400150024
dblp:conf/icsports/JohnstonODRCC16
fatcat:6mwfbt5bh5hofjtrqthagbzu7a
Objective falls-risk prediction using wearable technologies amongst patients with and without neurogenic gait alterations: a narrative review of clinical feasibility
2021
mHealth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Studies performing gait assessment using any wearable gait assessment device and analysing correlation with the occurrence of falls during a retrospective or prospective study period were included. ...
The recent development of gait analysis sensor technologies has enabled quantitative measurement of several gait features related to falls risk. ...
Studies using single-point wearables from 31.26-255 Hz (21,28) have more disagreement between gold-standard and sensor data. ...
doi:10.21037/mhealth-21-7
pmid:34805392
pmcid:PMC8572751
fatcat:p5mevgnkwzbwjgfpyw3svprguy
Usefulness of Mobile Devices in the Diagnosis and Rehabilitation of Patients with Dizziness and Balance Disorders: A State of the Art Review
2020
Clinical Interventions in Aging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Some static and dynamic clinical tests have been performed with the use of wearable sensors. ...
Body movements are detected through the use of force platforms that assess static and dynamic balance (conventional posturography). ...
Disclosure The authors report no conflicts of interest in this work. ...
doi:10.2147/cia.s289861
pmid:33376315
pmcid:PMC7764625
fatcat:5tfsvhm7q5dixolyknjy33vxty
Evaluating physical function and activity in the elderly patient using wearable motion sensors
2016
EFORT Open Reviews
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Wearable sensors, in particular inertial measurement units (IMUs) allow the objective, valid, discriminative and responsive assessment of physical function during functional tests such as gait, stair climbing ...
Low cost and ease of use allow routine clinical application but with many options for sensors, algorithms, test and parameter definitions, choice and comparability remain difficult, calling for consensus ...
and firm) and the base of support (single-leg, double-leg, and tandem stance position) across six tasks challenge a person's balance and wearable IMUs have been used to measure three-dimensional body ...
doi:10.1302/2058-5241.1.160022
pmid:28461937
pmcid:PMC5367538
fatcat:533nrbz7zjgjdcj6gxnn4swkm4
Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis
2019
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper surveys the state-of-the-art in wearable sensor technology in gait, balance, and range of motion research. ...
A two-level taxonomy of rehabilitation assessment is introduced with evaluation metrics and common algorithms utilized in wearable sensor systems. ...
[43] 2015 Develop a system to objectively record ground reaction forces, acceleration and direction of the feet using wearable sensors.
Reference Year Objective Sijobert et al. ...
doi:10.3390/app10010234
fatcat:odh7kxyq4zh55afkl5bmfdybdi
Commercial Postural Devices: A Review
2019
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Wearable technology is a promising alternative to laboratory systems for movement and posture analysis. This article reviews commercial wearable devices with a focus on postural analysis. ...
Therefore, many are able to afford small luxuries in life, such as a piece of technology that could potentially improve their health in the long run. ...
Acknowledgments: There are no further acknowledgments
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s19235128
pmid:31771130
pmcid:PMC6929158
fatcat:xkqpv2jmevegnikeeeps7w7ajy
3D Digitization of a Hand-Held Object with a Wearable Vision Sensor
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
To realize autonomous recognition of a hand-held object as well as to study human behavior of manipulation and observation, we have developed a wearable vision sensor, which has similar sight to a human ...
Second, we proposed dynamic space carving for 3D shape extraction of a static object occluded by a dynamic object moving around the static object. ...
Acknowledgments This paper is supported in part by the Ministry of Education, Culture, Sports, Science and Technology Grant No. 13224051. ...
doi:10.1007/978-3-540-24837-8_13
fatcat:cbh5vqesh5fzxdczfgvdyv5b6q
Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation ...
The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21134438
pmid:34203571
fatcat:5jizsqxc6bcc7mocpqppp7wgsy
Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Gait analysis algorithms used for diagnosis showed a balanced accuracy range of 83.5–100%, sensitivity of 83.3–100% and specificity of 82–100%. ...
Despite a large number of studies on the topic of objective gait analysis in PD, only a limited number of studies reported algorithms that were accurate enough deemed to be useful for diagnosis and symptoms ...
Among non-wearable sensors, the single camera image processing system is composed of single or multiple cameras that can be used to obtain information about gait in selected individuals. ...
doi:10.3390/s20123529
pmid:32580330
fatcat:c3ajfkdb3nctvdbmyhpiinq66i
Application of data fusion techniques and technologies for wearable health monitoring
2017
Medical Engineering and Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. ...
Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. ...
If we consider the use of one to five sensors, for the purpose of identifying fundamental static and dynamic postures a single sensing device can be sufficient. ...
doi:10.1016/j.medengphy.2016.12.011
pmid:28237714
fatcat:mqllh4yagnhgdn7vs4zcoqzkim
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Firstly, we formalize this problem as minimizing both activity classification loss and sensor number by dynamically selecting a sparse subset for each instance. ...
The multi-sensor synchronous measurement has shown better performance for HAR than a single sensor. However, the multi-sensor setting increases the costs of data transmission, computation and energy. ...
by dynamically selecting a subset of sensors along with the instance sequence in order to balance recognition accuracy and sensor cost. ...
doi:10.1609/aaai.v34i01.5461
fatcat:xglbpak33vdpjg7z5ia24ll2au
Human Behavior Recognition Model Based on Feature and Classifier Selection
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
For the existing single method that cannot well realize human activity recognition, this paper proposes a human activity classification and recognition model based on smartphone inertial sensor data. ...
The model fully considers the feature differences of different properties of actions, uses a fixed sliding window to segment the human activity data of inertial sensors with different attributes and, finally ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21237791
pmid:34883795
fatcat:743nb2eqsjhrbamlvkzgnixpwm
Sensor Data Required for Automatic Recognition of Athletic Tasks Using Deep Neural Networks
2020
Frontiers in Bioengineering and Biotechnology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
These results for simulated sensor data indicate the feasibility of classifying athletic movements using a small number of wearable sensors. ...
A good classification accuracy of 85.9% was obtained using as few as three simulated sensors placed on the torso and shanks. ...
In the current study, we found that a single simulated torso sensor resulted in a poor classification accuracy of 48%. ...
doi:10.3389/fbioe.2019.00473
pmid:32039178
pmcid:PMC6985033
fatcat:2nrumhgrujf4zc2essa2spkq34
Inertial Sensor Reliability and Validity for Static and Dynamic Balance in Healthy Adults: A Systematic Review
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
A synthesis of the included studies shows moderate to good reliability for dynamic balance. Concurrent validity is moderate for both static and dynamic balance. ...
This systematic review investigated the inter-sensor and test-retest reliability, and concurrent and discriminant validity to measure static and dynamic balance in healthy adults. ...
Further research is required to evaluate the convergent validity of using a single sensor over the centre of mass rather than a six-sensor array for clinical balance tests such as the timed up and go test ...
doi:10.3390/s21155167
fatcat:vom673j3xjcsnilu3noke4roxu
Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Wearable sensors have proved to be very useful in monitoring and analyzing the stability of subjects. ...
Different techniques of measurement and assessment have been used to quantify the postural stability in elderly individuals both in static and dynamic conditions [26, 27] . ...
Furthermore, walking monitored by wearable sensors could be a useful screening tool to identify people with early signs of balance deficit [103] . ...
doi:10.3390/s18051613
pmid:29783647
pmcid:PMC5982638
fatcat:u4z7aa3rljcdzdkl7u6hm5gdwe
« Previous
Showing results 1 — 15 out of 5,346 results