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Highly-Individualized Physical Therapy Instruction beyond the Clinic using Wearable Inertial Sensors
2022
IEEE Access
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Assisted by a specialist in the clinic, the wearable sensors and user interface developed allow the capture of individualized exercises unique to the patient's physical abilities. ...
In this paper, we present a kinematics data processing approach to defining custom exercises with flexibility in terms of where it is worn and the nature of the exercise, as well as real-time corrective ...
Illustration of angle measurements between the start pose, current pose, and target pose. The three are used to estimate the plane of motion error.
FIGURE 3 . 3 FIGURE 3. ...
doi:10.1109/access.2022.3143765
fatcat:gv2hc7wszrc6lfygjyfvk2hjqu
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset
2018
Journal of NeuroEngineering and Rehabilitation
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In addition, the effectiveness of the biofeedback, reflected by the number of steps with FPA value ±2 degrees from the target, was found to be around 50% in both wearable and laboratory approaches. ...
In this study we propose and evaluate a wearable visual feedback system for gait retraining of the foot progression angle (FPA). ...
Moreover, the authors thank Pakwan Suppaiboonsuk for the insightful initial exploration on ambulatory feedback during her Bachelor assignment and Kevin Selman for his help in understanding the Microsoft ...
doi:10.1186/s12984-018-0419-2
pmid:30111337
pmcid:PMC6094564
fatcat:kvrqbzqphjfrlpjvotzva7z2e4
Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video
[article]
2019
arXiv
pre-print
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The cascaded pose tracker achieves an average accuracy of 88\% in tracking the target human actor in our video recordings, and overall system achieves average test accuracy of 84\% for target-specific ...
However, wearable technology remains ill-suited for applications which require monitoring and interpretation of complex motor behaviors (e.g. involving interactions with the environment). ...
Conflicts of Interest: S.P., Y.C. and M.K.E are employees of Pfizer, Inc. The remaining authors declare no conflict of interest ...
arXiv:1909.09566v1
fatcat:prcmfivlzjgidflcpla3xqeopi
Multi-View Multi-Modal Head-Gaze Estimation for Advanced Indoor User Interaction
2022
Computers Materials & Continua
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Gaze estimation is one of the most promising technologies for supporting indoor monitoring and interaction systems. ...
approaches, and 3) the proposed estimators achieve a high inference efficiency that can be used in real-time applications. ...
As shown in Fig. 2 , many researchers have attempted to develop contactless monitoring systems for various applications. ...
doi:10.32604/cmc.2022.021107
fatcat:4xuwhcqiwrgdtpsri37cpp6gde
The Evolution of Wi-Fi Technology in Human.pdf
2021
figshare.com
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Wi-Fi signals with the usage of their features could help solve some of these issues, with the help of other wearable sensors, such as: RGB-D camera, IR sensor (thermal camera), inertial sensor etc. ...
This paper reviews various approaches for Wi-Fi human motion recognition systems, their analytical methodologies, challenges and proposed techniques along with the aspects to this paper: (a) applications ...
However, an identification system with a limited number of sensors makes the procedure quicker and easier in real-life applications. The quantity of wearable sensors is crucial for convenience. ...
doi:10.6084/m9.figshare.16668373.v1
fatcat:nl2y3c4lbvgsxbojcouavxdpuu
Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video
2019
Sensors
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The cascaded pose tracker achieves an average accuracy of 88% in tracking the target human actor in our video recordings, and overall system achieves average test accuracy of 84% for target-specific action ...
However, wearable technology remains ill-suited for applications which require monitoring and interpretation of complex motor behaviors (e.g., involving interactions with the environment). ...
multi-person pose estimation method described in Section 2.1 (illustrated in Figure 3 ). ...
doi:10.3390/s19194266
pmid:31581449
pmcid:PMC6806251
fatcat:o4swbs5w4fbxrnqr3gj2kilmpu
Table of contents
2019
IEEE Sensors Journal
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Chung Automatic Calibration of a Six-Degrees-of-Freedom Pose Estimation System .............................................. ......................................................................... ...
Wahid Refocusing of Ground Moving Target in Circular Synthetic Aperture Radar ........... D. An, W. Wang, and Z. ...
doi:10.1109/jsen.2019.2925953
fatcat:gaxfoduspbfl5j6gyduiw4gbs4
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
2022
Frontiers in Human Neuroscience
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Here, we provide a technological review of wearable and vision-based portable motion analysis tools that emerged in the last decade with recent applications in neurological disorders such as Parkinson's ...
We foresee that ongoing developments toward user-friendly automated devices will allow for closed-loop applications, long-term monitoring, and telemedical consulting in real-life environments. ...
Lastly, AlphaPose is another open-source multi-pose estimator featuring a regional multi-person pose estimation (RPME) framework (Fang et al., 2017) . ...
doi:10.3389/fnhum.2022.768575
pmid:35185496
pmcid:PMC8850274
fatcat:25ugmrdxvzbghdo4k2343k5gxy
Wearable Sensing for Solid Biomechanics
2015
IEEE Sensors Journal
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In this paper, we review the current research in wearable sensing technologies for biomechanical analysis, focusing upon sensing and analytics that enable continuous, long-term monitoring of kinematics ...
Understanding the solid biomechanics of the human body is important to the study of structure and function of the body, which can have a range of applications in healthcare, sport, wellbeing, and workflow ...
monitoring applications. ...
doi:10.1109/jsen.2015.2393883
fatcat:sgnyhgnafjhk5ozq4tmvwzbemq
A systematic Review on Fusion Techniques and Approaches Used in Applications
2020
IEEE Access
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The results of this study are a list of classified applications within the domains and a number of relevant techniques or approaches used in each classified application. ...
The finding of this review showed that the most published works for the use of intelligence fusion are mainly applications in the robotics domain, where mostly used techniques are Kalman Filter and its ...
MONITORING AND WEARABLE TECHNOLOGY Monitoring systems is one of the necessary applications in healthcare to improve chronic diseases management. ...
doi:10.1109/access.2020.2966400
fatcat:pygjwjugnfhc7d74inyfg4axze
Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison
2020
BioMedical Engineering OnLine
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For the former, a number of different algorithms for rigid body pose estimation from sensor data were also tested. ...
Nowadays, motor rehabilitation exercises can be easily performed and monitored even at home by a variety of motion-tracking systems. ...
BM performed the data analysis analyzed and all authors participated in the writing of the manuscript the final draft. All authors read and approved the final manuscript. ...
doi:10.1186/s12938-020-00762-7
pmid:32326957
pmcid:PMC7178588
fatcat:3dgcuptmunayjb3vol6i2fspdq
A multi-modal sensor infrastructure for healthcare in a residential environment
2015
2015 IEEE International Conference on Communication Workshop (ICCW)
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Video Monitoring The video monitoring component of the SPHERE architecture is tasked with developing a real-time multi-camera system for activity and health monitoring within the home environment. ...
Since the use of staircases can directly reflect musculoskeletal problems and the progress of recovery, a system has been developed to estimate the quality of movement on stairs in [12] . ...
doi:10.1109/iccw.2015.7247190
dblp:conf/icc/WoznowskiFSHCTP15
fatcat:chqdgvitt5g37oe4uxy4e6n5uy
Application of data fusion techniques and technologies for wearable health monitoring
2017
Medical Engineering and Physics
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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. ...
The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. ...
An in-depth review of the technology used in wearable systems for health applications can be found in a review by Lowe and OLaighin [61] . ...
doi:10.1016/j.medengphy.2016.12.011
pmid:28237714
fatcat:mqllh4yagnhgdn7vs4zcoqzkim
Application of Augmented Reality and Robotic Technology in Broadcasting: A Survey
2017
Robotics
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Recently, advanced robotic technologies have been deployed in a camera shooting system to create a robotic cameraman so that the performance of AR broadcasting could be further improved, which is highlighted ...
In addition, AR enables broadcasters to interact with augmented virtual 3D models on a broadcasting scene in order to enhance the performance of broadcasting. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/robotics6030018
fatcat:rtutdrwjlvb3zaybx4mbudxxb4
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices
2021
IEEE Transactions on Biomedical Engineering
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The proposed methodology enables real-time data processing on resource-constrained devices and supports real-time wearable monitoring based on EEG for applications as CWM in human-machine interaction. ...
Our CWM solution is built upon edge computing on a simple wearable system, with only four peripheral channels of electroencephalography (EEG). ...
Our CWM system is based on a state-of-the-art wearable device for unobtrusive EEG monitoring. ...
doi:10.1109/tbme.2021.3092206
pmid:34166183
fatcat:jdcniymcbnhnxe2gefwlf3pyyy
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