Classification of Health Literacy and Cognitive Impairments Using Higher-Order Kinematic Parameters of the Sit-to-Stand Movement From a Monostatic Doppler Radar

Saho, Kenshi; Sugano, Kouki; Kita, Momoka; Uemura, Kazunori; Matsumoto, Michito

doi:10.1109/jsen.2021.3060050

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…It is not appropriate to emphasize the details of movements too much. In the training session of classroom technical movements are arranged immediately, students are guided to form a complete impression of technical movements by using sensor information feedback, and students are not directly evaluated for their exercises, so as to stimulate their thirst for knowledge and active awareness of inquiry [9]. As far as possible to meet the students' freedom to exercise, the students are required to learn to improve themselves for each exercise movement.…”

Section: E Progress Of the Lessonmentioning

confidence: 99%

Application of Sensor-Based Intelligent Wearable Devices in Information Physical Education

Chen¹

2022

Mathematical Problems in Engineering

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In order to solve the heavy work tasks of teachers and improve the efficiency of classroom teaching, a sensor-based intelligent wearable device method is proposed. The method is divided into four stages: generalization-differentiation-solidification-automation. At the stage of generalization and differentiation, teachers should first demonstrate and drill the correct movements and brief notes for attention. It is not appropriate to emphasize the details of movements too much. In the movement exercise of the differentiation and solidification stage, attention should be paid to guiding students to experience the process of coordinating and generating force, and to enhance the experience of muscle sensation and perception. In the solidification stage, students’ mastery of technical movements tends to be stable, and they should strengthen the combination with other mastered technical movements. In this stage, attention should be paid to the cultivation of individual technical style. The results showed that 46% of the students in the experimental group thought badminton special learning was interesting, while only 15% of the students in the control group held the same attitude. 39% of the students in the experimental group thought badminton special learning interesting, and 31% of the students in the control group; in the experimental group, 15% of students thought that their interest in badminton became average after a semester of special courses, while in the control group, 39% students should be interested in badminton. None of the students in the experimental group thought badminton learning was less interesting, while 15% of the students in the control group still felt badminton learning became less interesting. Conclusion. The method can effectively solve the heavy work of teachers and improve the efficiency of class.

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Section: E Progress Of the Lessonmentioning

confidence: 99%

Application of Sensor-Based Intelligent Wearable Devices in Information Physical Education

Chen¹

2022

Mathematical Problems in Engineering

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“…corresponds the fifth derivative of the position vector with respect to time. For example, crackle represents a higherorder kinematic parameter derived from the Doppler radar measurements, specifically denoting the time derivative of snap, and is identified as a potential indicator of cognitive impairment during the sit-to-stand movement in elderly individuals [30]. 6 is the term that occasionally used to describe the sixth derivative of the position vector concerning time [31].…”

Section: Introductionmentioning

confidence: 99%

Detecting of Robotic Imitation of Human on-the-Website Activity With Advanced Vector Analysis and Fractional Derivatives

Malashin,

Tynchenko,

Gantimurov

et al. 2024

IEEE Access

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This paper introduces a novel approach for the detection of automated entities in online environments through the analysis of mouse dynamics. Leveraging fractional derivatives and vector cross products, our methodology scrutinizes the intricate patterns embedded in mouse movements. Fractional derivatives capture the non-integer order dynamics, while vector cross products reveal deviations from expected trajectories. The combination of these advanced mathematical tools offers a unique perspective on distinguishing between human and bot behaviors. We present experimental results showcasing the efficacy of our approach in various scenarios, demonstrating its potential in the realm of cybersecurity and online integrity. Our findings contribute to the evolving landscape of bot detection methodologies, emphasizing the importance of incorporating mathematical rigor in the analysis of digital behavior.

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Kinematic jerk and jounce for multibody dynamics with joint constraints

Sommer

2024

Mechanism and Machine Theory

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Classification of Health Literacy and Cognitive Impairments Using Higher-Order Kinematic Parameters of the Sit-to-Stand Movement From a Monostatic Doppler Radar

Cited by 5 publications

References 39 publications

Application of Sensor-Based Intelligent Wearable Devices in Information Physical Education

Application of Sensor-Based Intelligent Wearable Devices in Information Physical Education

Detecting of Robotic Imitation of Human on-the-Website Activity With Advanced Vector Analysis and Fractional Derivatives

Kinematic jerk and jounce for multibody dynamics with joint constraints

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