scholarly journals Motion-core assistive tools using pervasive embedded intelligence

2021 ◽  
Vol 2 (1) ◽  
pp. 10-21
Author(s):  
S. M. Namal Arosha Senanayake ◽  
Keyword(s):  
Performance Optimization ◽  
Movement Analysis ◽  
Human Movement ◽  
Decision Fusion ◽  
Human Motion ◽  
Test Subject ◽  
Data Mapping ◽  
Translation Techniques ◽  
And Performance ◽  
Embedded Intelligence

Real-time human movement monitoring anywhere at any time is time critical depending on core human motion activities, in particular nation’s valuable asserts; athletes and soldiers considered as reference standard of any society. Light weight wearable technologies are the key measurements and instruments system integrated to develop human motion-core assistive tools (MAT) using pervasive embedded intelligence. Unlike many existing motion analysis models, motion-core models are based on domain specific data service architectures beyond cloud technologies using inner data structures and data models created. Four layered micro system architecture that consists of sensing, networking, service and Motion-core IoT (MIoT) is proposed. Knowledge base was designed as a distributed and networked data center based on transient and resident data addressing modes in order to guarantee the secure data accessing, propagating, visualizing and control between these two modes of operations. While transient data change and avail in relevant clouds storages, corresponding resident data and processed data retain inside local servers or/and private clouds. Data mapping and translation techniques are applied for the formation of complete motion-core data packet related to the test subject under consideration. Thus, hybrid MIoT system is developed using 3D decision fusion models which are the internationally quantifiable standards for assessing human motion set by trainers, coachers, physiotherapists and orthopedics. MIoT built as motion-core assistive tools have been tested for rehabilitation monitoring, injury prevention and performance optimization of athletes, soldiers, and general public. The hybrid system introduced in this work is novel and proves lower down the latency and connectivity independence by allowing human movement analysis during daily active lifestyle.

scholarly journals High speed cameras in sport and exercise. Practical applications in sports training and performance analysis

2016 ◽  
Vol 34 (2) ◽  
pp. 13-23
Author(s):  
Bernat Buscà Safont-Tria ◽  
Marc Quintana Recasens ◽  
Josep Maria Padullés Rius
Keyword(s):  
High Speed ◽  
Movement Analysis ◽  
Human Movement ◽  
Slow Motion ◽  
Practical Applications ◽  
Technological Advances ◽  
The World ◽  
And Performance ◽  
Sport And Exercise ◽  
Smart Mobile

Technological advances applied to the world of sport have improved the experience of participants, coaches and spectators. The high-speed cameras and the video in slow motion allowed studying and improve learning processes and performance in sports, analyzing the movement and evaluating several factors in these processes. Thus, these cameras have helped to improve feedback supply to the training and learning sessions. Moreover, it constitute a valuable tool for both researchers and coaches to assess performance and measure the duration of events, velocities, accelerations and forces that are generated in human movement. This article aims to improve the knowledge of the reader in this area. It analyzes the various tools on the market, as well as smart mobile phones and applications based on the use of the camera, high-speed in lots of cases. It also refers to software used for movement analysis. The article seeks to highlight recent research that used this technology and suggest affordable and valuable practical applications for improving training and teaching processes in the modern sport.

scholarly journals Applications of Pose Estimation in Human Health and Performance across the Lifespan

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7315
Author(s):  
Jan Stenum ◽  
Kendra M. Cherry-Allen ◽  
Connor O. Pyles ◽  
Rachel D. Reetzke ◽  
Michael F. Vignos ◽  
...  
Keyword(s):  
Human Health ◽  
Pose Estimation ◽  
Performance Optimization ◽  
Low Cost ◽  
Relevant Literature ◽  
Human Movement ◽  
Motor Assessment ◽  
Estimation Algorithms ◽  
Human Pose ◽  
And Performance

The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple videos recorded using common household devices with relatively low-cost cameras (e.g., smartphones, tablets, laptop computers). In our view, these technologies offer clear and exciting potential to make measurement of human movement substantially more accessible; for example, a clinician could perform a quantitative motor assessment directly in a patient’s home, a researcher without access to expensive motion capture equipment could analyze movement kinematics using a smartphone video, and a coach could evaluate player performance with video recordings directly from the field. In this review, we combine expertise and perspectives from physical therapy, speech-language pathology, movement science, and engineering to provide insight into applications of pose estimation in human health and performance. We focus specifically on applications in areas of human development, performance optimization, injury prevention, and motor assessment of persons with neurologic damage or disease. We review relevant literature, share interdisciplinary viewpoints on future applications of these technologies to improve human health and performance, and discuss perceived limitations.

scholarly journals Analysis and Research on Human Movement in Sports Scene

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yan Wang ◽  
Yuchen Zhang ◽  
LinJun Shen ◽  
ShuMing Wang
Keyword(s):  
Body Movement ◽  
Movement Analysis ◽  
Human Movement ◽  
Human Motion ◽  
Whole Body ◽  
Human Motion Analysis ◽  
Analysis Method ◽  
Multilabel Classification ◽  
Movement Process ◽  
Rope Skipping

As a whole-body sport, skipping rope plays an increasingly important role in daily life. In rope-skipping education, due to the lack of professional teachers, the training efficiency of students is low. The rope-skipping monitoring device is heavy and expensive, and the cost of labor statistics and energy consumption are high. In order to quickly analyze the movement process of students and provide correct guidance, this article implements the movement analysis method of the human body movement process. The problem of limb posture analysis in rope skipping is transformed into a multilabel classification problem, a real-time human motion analysis method based on mobile vision is proposed, and the algorithm model is verified in the rope-skipping scene. The experimental results prove that this paper proposes the improved algorithm, which achieved the expected effect. In the analysis of rope-skipping action, the choice of hyperparameters during the experiment is introduced, and it is verified that the proposed ALSTM-LSTM can solve the problem of multilabel classification in the rope-skipping process. The accuracy rate reaches 95.1%, and it can provide the best in all indicators and good performance. It is of great significance for movement analysis and movement quality evaluation during exercise.

Making Ballet 3

2017 ◽  
Author(s):  
Andrea Harris
Keyword(s):  
New York ◽  
Twentieth Century ◽  
New York City ◽  
Cold War ◽  
Movement Analysis ◽  
Story Line ◽  
George Balanchine ◽  
And Performance ◽  
Ballet History ◽  
Choreographic Analysis

Making Ballet 3 provides a choreographic analysis of the ballet Western Symphony, produced by the New York City Ballet in 1954 with choreography by George Balanchine, music by Hershy Kay, scenery by John Boyt, and costumes by Karinska. It brings to light the multitude of intertextual allusions that occur throughout the ballet, playfully intermingling references of “America” with an entire lineage of nineteenth-century European classicism. Although Western Symphony has no story line, it crafts a deliberate message: a long, transatlantic genealogy of Western classicism that, in the twentieth century, has come to rest in America. Drawing on archival sources and movement analysis, this interchapter argues that Western Symphony incorporates parody to present a revisionist ballet history in which the high cultural lineages of Europe and America are intimately entwined. Ultimately, this message reinforced the Atlanticist politics of private and state anticommunist groups in the cultural Cold War, the historical setting for its production and performance.

scholarly journals Filtering Biomechanical Signals in Movement Analysis

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4580
Author(s):  
Francesco Crenna ◽  
Giovanni Battista Rossi ◽  
Marta Berardengo
Keyword(s):  
Measurement Uncertainty ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Movement Analysis ◽  
Analytical Signal ◽  
Human Movement ◽  
Reference Points ◽  
Biomechanical Analysis ◽  
Method Performance ◽  
Acceleration Signal

Biomechanical analysis of human movement is based on dynamic measurements of reference points on the subject’s body and orientation measurements of body segments. Collected data include positions’ measurement, in a three-dimensional space. Signal enhancement by proper filtering is often recommended. Velocity and acceleration signal must be obtained from position/angular measurement records, needing numerical processing effort. In this paper, we propose a comparative filtering method study procedure, based on measurement uncertainty related parameters’ set, based upon simulated and experimental signals. The final aim is to propose guidelines to optimize dynamic biomechanical measurement, considering the measurement uncertainty contribution due to the processing method. Performance of the considered methods are examined and compared with an analytical signal, considering both stationary and transient conditions. Finally, four experimental test cases are evaluated at best filtering conditions for measurement uncertainty contributions.

scholarly journals SWIPT in mMIMO system with non-linear energy-harvesting terminals: protocol design and performance optimization

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Kui Xu ◽  
Ming Zhang ◽  
Jie Liu ◽  
Nan Sha ◽  
Wei Xie ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Performance Optimization ◽  
Power Transmission ◽  
Base Station ◽  
Second Phase ◽  
Wireless Power ◽  
Half Duplex ◽  
Non Linear ◽  
Two Phases ◽  
And Performance

Abstract In this paper, we design the simultaneous wireless information and power transfer (SWIPT) protocol for massive multi-input multi-output (mMIMO) system with non-linear energy-harvesting (EH) terminals. In this system, the base station (BS) serves a set of uplink fixed half-duplex (HD) terminals with non-linear energy harvester. Considering the non-linearity of practical energy-harvesting circuits, we adopt the realistic non-linear EH model rather than the idealistic linear EH model. The proposed SWIPT protocol can be divided into two phases. The first phase is designed for terminals EH and downlink training. A beam domain energy beamforming method is employed for the wireless power transmission. In the second phase, the BS forms the two-layer receive beamformers for the reception of signals transmitted by terminals. In order to improve the spectral efficiency (SE) of the system, the BS transmit power- and time-switching ratios are optimized. Simulation results show the superiority of the proposed beam-domain SWIPT protocol on SE performance compared with the conventional mMIMO SWIPT protocols.

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