Characterizing human activity induced impulse and slip-pulse excitations through structural vibration

Pan, Shijia; Mirshekari, Mostafa; Fagert, Jonathon; Ramirez, Ceferino Gabriel; Chung, Albert K.; Hu, Chih Chi; Shen, John Paul; Zhang, Pei; Noh, Hae Young

doi:10.1016/j.jsv.2017.10.034

Cited by 18 publications

(2 citation statements)

References 18 publications

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“…As mentioned in the introduction, the localization of impact sources in multi-dwelling residences is a research area of significant social demand [10,11]. The approach of identifying impact sources through the sensing of structural vibrations offers a non-intrusive method, which is not only beneficial for improving acoustic comfort but is also promising in the study of human behavior recognition [45]. However, the practical application of such localization techniques is limited to short-range sensing at the individual plate level, not extending beyond the junctions between structural members [46,47].…”

Section: Discussionmentioning

confidence: 99%

Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment

Cho,

Song,

Kwon

et al. 2024

Buildings

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This research examines the application of periodic materials in wall–slab structures to mitigate impact noise and vibration propagation, a prevalent issue in multifamily housing. Traditional methods, such as floating floors, have proven insufficient in addressing low-frequency impact noises and in facilitating the identification of noise origins, leading to increased resident annoyance. Periodic materials, known for their effectiveness in controlling plane waves in civil engineering, were applied to the intermediate slab of a wall–slab experimental setup. The research involved assessing the attenuation of noise and vibration over distance before and after the application of periodic materials by measuring indoor sound pressure levels and the natural vibration amplitude of the structure’s members upon impact. The results showed that periodic materials not only facilitated distance attenuation but also significantly diminished noise and vibration throughout the structure, without the side effects of vibration amplification seen in prior civil engineering applications. This indicates a practical advancement in using these materials, offering a novel approach to sound insulation and enabling more precise impact source localization. Ultimately, this study contributes to improving urban living by suggesting a method to enhance acoustic comfort in multifamily housing, underlining the importance of further exploration in architectural applications of periodic materials.

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Section: Discussionmentioning

confidence: 99%

Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment

Cho,

Song,

Kwon

et al. 2024

Buildings

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“…The scope of the sensors at present is large, with cheap and good quality sensors to be able to develop any system in any sector or specific field. In this way, HAR-type systems can gather data from diverse type of sensors Sensors 2021, 21, 8378 2 of 27 such as: accelerometers (e.g., see [9,10]), gyroscopes, which are usually combined with an accelerometer (e.g., see [11,12]), GPS (e.g., see [13,14]), pulse-meters (e.g., see [15,16]), magnetometers (e.g., see [17,18]) and thermometers (e.g., see [19]). As analyzed in [20], the field is still emerging, and inertial-based sensors such as accelerometers and gyroscopes can be used to (i) recognize specific motion learning units and (ii) assess learning performance in a motion unit.…”

Section: Introductionmentioning

confidence: 99%

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Echeverria

Santos

2021

Sensors

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Technological advances enable the design of systems that interact more closely with humans in a multitude of previously unsuspected fields. Martial arts are not outside the application of these techniques. From the point of view of the modeling of human movement in relation to the learning of complex motor skills, martial arts are of interest because they are articulated around a system of movements that are predefined, or at least, bounded, and governed by the laws of Physics. Their execution must be learned after continuous practice over time. Literature suggests that artificial intelligence algorithms, such as those used for computer vision, can model the movements performed. Thus, they can be compared with a good execution as well as analyze their temporal evolution during learning. We are exploring the application of this approach to model psychomotor performance in Karate combats (called kumites), which are characterized by the explosiveness of their movements. In addition, modeling psychomotor performance in a kumite requires the modeling of the joint interaction of two participants, while most current research efforts in human movement computing focus on the modeling of movements performed individually. Thus, in this work, we explore how to apply a pose estimation algorithm to extract the features of some predefined movements of Ippon Kihon kumite (a one-step conventional assault) and compare classification metrics with four data mining algorithms, obtaining high values with them.

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Ten questions concerning human-building interaction research for improving the quality of life

Becerik-Gerber

Lucas

Aryal

et al. 2022

Building and Environment

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Characterizing human activity induced impulse and slip-pulse excitations through structural vibration

Cited by 18 publications

References 18 publications

Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment

Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Ten questions concerning human-building interaction research for improving the quality of life

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