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This article presents the results of an experimental study focused on evaluating the potential to harvest electrical energy from vertical vibrations affecting a child car seat installed on an ISOFIX base with a support leg during real driving conditions. The objective was to measure vibration levels in the seat structure and assess the feasibility of converting this mechanical energy into electrical power. The study involved two child seat models, each tested under loads of 9 kg and 15 kg, while driving over smooth asphalt, damaged asphalt, and speed bumps. Acceleration data were collected at three key structural locations: the seat surface, the ISOFIX base, and the support leg. These measurements served as the basis for estimating the mechanical energy available and the resulting electrical output. Findings show that in poor road conditions, the system can generate enough energy to power a 10 µW sensor for more than 42 days. The results confirm the feasibility of using vibration energy harvesting to supply smart safety features such as presence detection, temperature monitoring, or posture sensing in child seats, without the need for batteries or a connection to the vehicle’s electrical system.

In developing countries, child safety seat use remains low, which contributes to the consistently high rate of child injuries and deaths in traffic accidents. In order to protect the safety of child passengers, it is necessary to improve the public acceptance of child restraints. We improved the shortcomings of the traditional child restraints by adding some new features: 1, tightening Isofix automatically; 2, using temperature sensing, a high-temperature alarm, automatic ventilation, and cooling; 3, using pressure sensing, if the child is left alone it will set off the car alarm; 4, voice control to adjust the angle of the backrest; 5, the seat can be folded into the trunk. These functions make human-computer interaction more humane. The authors collected changes in parental acceptance of child restraints using the interview method and questionnaires. We found that acceptance increased significantly after making intelligent improvements to the child restraints. The authors used the Technology Acceptance Model to identify the key caveats influencing users’ use of intelligent child restraints. Performance expectations, effort expectations, social influence, convenience, and hedonic motivation positively and significantly impacted the willingness to use intelligent child restraints, so the authors suggest that these points should be emphasized when promoting the product. The current study findings have theoretical and practical implications for smart child restraint designers, manufacturers, sellers, and government agencies. To better understand and promote child restraint, researchers and marketers can analyze how people accept child restraint based on our research model.

A phenomenon that causes damage to the anchor is exceeding the ultimate strength limit, that may occur as a result of the collision. The subject of this paper is shape of an ensuring an adequate level of reliability. In order to determine loads acting on restraint system, the simulation in MADYMO environment has been made. There has been given characteristics of acceleration impulse in time representing process of real head-on collision. To the preparation of geometry, strength calculation and results visualization, there was used an environment of HyperWorks and ANSYS. The anchor dimensions were optimized using response surface method. The calculation performed with finite elements method (FEM) allowed for shape improvement of initial model. Optimization resulted in increasing of safety factor for 60%. Tematem pracy jest ukształtowanie zaczepu ISOFIX zapewniające odpowiedni poziom niezawodności. W celu wyznaczenia obciążeń występujących w mocowaniu urządzenia przytrzymującego przeprowadzono symulację metodą dynamiki układów wieloczłonowych w środowisku MADYMO. Zadano charakterystykę czasową impulsu przyspieszenia odwzorowującą przebieg rzeczywistego zderzenia czołowego. Do przygotowania geometrii, obliczeń wytrzymałościowych oraz wizualizacji wyników wykorzystano środowiska ANSYS oraz HyperWorks. Wymiary zaczepu zostały zoptymalizowane metodą powierzchni odpowiedzi. Przeprowadzone obliczenia metodą elementów skończonych (MES) umożliwiły poprawę kształtu wstępnego modelu. W wyniku optymalizacji zwiększono współczynnik bezpieczeństwa o ok. 60%.