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Highly-Individualized Physical Therapy Instruction beyond the Clinic using Wearable Inertial Sensors

Samir A. Rawashdeh, Ella Reimann, Timothy L. Uhl
2022 IEEE Access  
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

Angelos Karatsidis, Rosie E. Richards, Jason M. Konrath, Josien C. van den Noort, H. Martin Schepers, Giovanni Bellusci, Jaap Harlaar, Peter H. Veltink
2018 Journal of NeuroEngineering and Rehabilitation  
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]

Behnaz Rezaei, Yiorgos Christakis, Bryan Ho, Kevin Thomas, Kelley Erb, Sarah Ostadabbas, Shyamal Patel
2019 arXiv   pre-print
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

Jung-Hwa Kim, Jin-Woo Jeong
2022 Computers Materials & Continua  
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

Noha Mohamed
2021 figshare.com  
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

Behnaz Rezaei, Yiorgos Christakis, Bryan Ho, Kevin Thomas, Kelley Erb, Sarah Ostadabbas, Shyamal Patel
2019 Sensors  
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  
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

Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, Thomas Schauer, Andrea A. Kühn, Nikolaus Wenger
2022 Frontiers in Human Neuroscience  
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

Charence Wong, Zhiqiang Zhang, Benny Ping Lai Lo, Guang-Zhong Yang
2015 IEEE Sensors Journal  
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

Shaidah Jusoh, Sufyan Almajali
2020 IEEE Access  
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

Bojan Milosevic, Alberto Leardini, Elisabetta Farella
2020 BioMedical Engineering OnLine  
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

Przemyslaw Woznowski, Xenofon Fafoutis, Terence Song, Sion Hannuna, Massimo Camplani, Lili Tao, Adeline Paiement, Evangelos Mellios, Mo Haghighi, Ni Zhu, Geoffrey Hilton, Dima Damen (+5 others)
2015 2015 IEEE International Conference on Communication Workshop (ICCW)  
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

Rachel C. King, Emma Villeneuve, Ruth J. White, R. Simon Sherratt, William Holderbaum, William S. Harwin
2017 Medical Engineering and Physics  
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

Dingtian Yan, Huosheng Hu
2017 Robotics  
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

Renato Zanetti, Adriana Arza, Amir Aminifar, David Atienza
2021 IEEE Transactions on Biomedical Engineering  
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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