Monitoring of human body running training with wireless sensor based wearable devices

Ren, Jie; Guan, Fuyu; Pang, Ming; Li, Shuangling

doi:10.1016/j.comcom.2020.04.015

Cited by 12 publications

(7 citation statements)

References 13 publications

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“…Jie et al proposed a wearable human body monitoring system based on wireless acceleration sensor technology, which is used to real-time monitor the daily exercise amount of human body [ 8 ]. Ivacu et al proposed different types of agents to process different sensor signals and identify simple daily life activities [ 9 ]. Chander et al discussed wearable sensor networks for patient health monitoring: challenges, applications, future directions, and acoustic sensor challenges [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

Jiang

Zou

2021

Journal of Healthcare Engineering

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In order to design the perception system of the lower limb wearable rehabilitation robot, this study established the kinematics theoretical model of human lower limb and conducted the kinematics analysis of human body. By using the dynamic attitude analysis system, combined with the human body mark points, the position data of human body mark points in the process of standing up, sitting up, walking, stepping up, and squatting were collected. Combined with the movement mechanism of human lower limbs, the characteristics of human motion state transition are analyzed, and the perceptual algorithm for judging human motion intention is studied, so as to determine the wearer’s current posture, standing intention while sitting, walking intention while standing, moving intention, and stopping intention during walking. The results show that the angle of the hip joint changes regularly between 0° and 37° and the angle of the knee joint changes regularly between 0° and 70°during the standing process, which is consistent with the angle change trajectory collected by the dynamic attitude analysis system. The angle trajectories of the hip and knee joints measured by the absolute angle sensor are the same as those obtained by the dynamic attitude analysis system. 1.5 rad and 0.3 rad were selected as reasonable and effective thresholds for determining sitting and standing states.

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Section: Introductionmentioning

confidence: 99%

Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

Jiang

Zou

2021

Journal of Healthcare Engineering

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“…Yifei Wang et al (2020) describes body composition and physiological functions as follows: organs i.e., external organs (arm, leg, elbow, knee, hand, foot, eye, nose, mouth, ear, body, skin), internal organs (heart, brain, stomach, bones, backbone, muscle, tissue); organ and body functions i.e., respiratory system (breathing), circulatory system (heartbeat, heart rate, pulse), behavior (walking, sleeping) (Wang et al, 2020). Ren et al (2020) state that body composition and physiological function is as follows: organs i.e., external organs (arm, leg, elbow, knee, head, face, neck, body), internal organs (heart, brain, stomach, bones, backbone, muscle, tissue); organ and body functions i.e., respiratory system (breathing), circulatory system (heartbeat, heart rate, pulse), behavior (walking, running) (Ren et al, 2020). Uddin et al (2020) state that body composition and physiological function are as follows: organs i.e., external organs (i.e., arm, leg, elbow, knee, body), internal organs (i.e., heart); organ and body functions i.e., respiratory system (breathing), nerves, behavior (i.e., walking, sitting, standing, running, sleeping, jumping, dance, climbing and cycling) (Uddin et al, 2020).…”

Section: The Results Of the Synthesis With Regard To Body Composition And Physiological Functionmentioning

confidence: 99%

Sensorization of Things Intelligent Technology for Sport Science to Develop an Athlete’s Physical Potential

Sattaburuth¹,

Wannapiroon²

2021

HES

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Sports can build both strength and be fun at the same time. When it comes to a professional athlete's victory, the winner will enhance his reputation and can earn a great deal of money. The problem that athletes frequently encounter is traumas, which can happen in games or during training. Today, the technology is very advanced and modernized. Innovations and perceptual devices can be created to monitor, measure, analyze and evaluate data from the information received from the introduction of an intelligent system of evaluation and prediction in terms of safety and risk prevention with regard to athletes, by collecting heart rate data, blood oxygen measurement, air density around the athletes’ body, body temperature and a temperature in the sports training room. This is the point of view and vision of a sports industry leaders, who perceive the opportunity and advantage associated with the competition and training of both amateur and professional athletes, to develop the athlete’s physical potential to achieve international excellence. The study of intelligent sensor technology that is used to support devices that work on the guidelines of Internet of Things (IoT) leading to the development of real time data collecting applications. These are used to process or interpret physiological knowledge for an analysis of results and for the prediction of incoming results. It was found that using intelligent sensing technology which are two main groups of detection and measurement: First, human body function sensing and second, measurement to environment around the body or object, and explained to detail in this article.

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“…The experimental results show that different energy signals are transformed from different actions of the human body, which provides a new research direction for action recognition based on human movement energy. Ren et al [26] used a three-axis acceleration sensor to develop a system that can recognize human movement. The system can be used for physical rehabilitation training, medical aid diagnosis, physical exercise, etc.…”

Section: Related Research Contentmentioning

confidence: 99%

Adaptive Recognition of Motion Posture in Sports Video Based on Evolution Equation

Yuan

Zhang

et al. 2021

Advances in Mathematical Physics

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In the field of sports, the formulation of existing training plans mainly relies on the manual observation and personal experience of coaches. This method is inevitably subjective. The application of artificial intelligence technology to the training of athletes to recognize athletes’ posture can help coaches assist in decision-making and greatly enhance athletes’ competitive ability. The human body movements embodied in sports are more complicated, and the accurate recognition of sports postures plays an active and important role in sports competitions and training. In this paper, inertial sensor technology is applied to attitude recognition in motion. First, in order to improve the accuracy of attitude calculation and reduce the noise interference in the preparation process, this article uses differential evolution algorithm to apply attitude calculation to realize multisensor data fusion. Secondly, a two-level neural network intelligent motion gesture recognition algorithm is proposed. The two-level neural network intelligent recognition algorithm effectively recognizes similar actions by splitting the traditional single-level neural network into two-level neural networks. Experiments show that the experimental method designed in this article for the posture in motion can obtain the motion information of the examinee in real time, realize the accurate extraction of individual motion data, and complete the recognition of the motion posture. The average accuracy rate can reach 98.85%. There is a certain practical value in gesture recognition.

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Monitoring of human body running training with wireless sensor based wearable devices

Cited by 12 publications

References 13 publications

Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

Sensorization of Things Intelligent Technology for Sport Science to Develop an Athlete’s Physical Potential

Adaptive Recognition of Motion Posture in Sports Video Based on Evolution Equation

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