Machine learning algorithms for impact localization on formed piezo metal composites

Ullmann, Frank; Hardt, Wolf‐Dietrich; Zhmud, Vadim

doi:10.1109/sibcon.2017.7998552

Cited by 3 publications

(6 citation statements)

References 11 publications

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“…The most common method to determine the position of impacts is the use of machine learning algorithms and neural networks [3]. This has the advantage that the concrete structure of the object does not have to be known and if there are changes in the structure, a new learning of the algorithm is sufficient [1]. Another option is to use a model of the object to calculate the potential position of the impact based on various input patterns [4].…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…A current research project of the Federal Cluster of Excellence MERGE is the development of an intelligent input system in form of a center console for an automobile, which is shown in figure 1 [1]. The operation of the system is similar to that of a touch display, with the touch of a finger on the 1 Copyright © 2019 by ESS Journal surface, which activates application-specific behaviour, such as opening windows or the trunk of a car [1]. For the implementation a signal processing system is required, which is able to determine the point of contact between finger and user interface and guarantees energy efficiency and real-time capability as an embedded system.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Signal Features used for Impact Localization on a Center Console with Piezoceramic Sensors

Böhle

2019

ESS

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Smart components are increasingly of interest inresearch and industry due to their wide range of applications. Anexample of this is a current project of the Federal ExcellenceCluster MERGE, which is concerned with the development of acenter console that serves as a control element in an automobileand is executing actions by touching it. In order to facilitate thisfunctionality, it is necessary to evaluate the electrical signalsgenerated by piezoceramic sensors regarding to the localizationof the impact. In this respect, various signal features areinvestigated for their suitability using a support vector machine.The results show that an impact localization can be realized bythe energetic consideration of the signals but has limitations inthe practical usability.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Signal Features used for Impact Localization on a Center Console with Piezoceramic Sensors

Böhle

2019

ESS

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“…One possible application is represented by impact detection, which is used as an exemplary case for showing the functionality of the manufacturing process of the sensors, as well as the given practical usability. In our previous work, Ullmann et al showed that, with the same sensors, a sufficiently high localization accuracy can be achieved on the basis of a Support Vector Machine (SVM) usage combined with time difference computation, although the test objects are mathematically difficult to describe [26]. However, for practical use, real-time functionality has to be ensured, just as energy efficiency must be confirmed.…”

Section: System Descriptionmentioning

confidence: 99%

“…However, for practical use, real-time functionality has to be ensured, just as energy efficiency must be confirmed. The previous solutions from [26] offer a solid basis for data collection and evaluation, but they are unsuitable for practical use. The main problem is represented by the used UART Interface, since the provided data rates are too small for the large amounts of data, leading to big buffers accompanied…”

Section: System Descriptionmentioning

confidence: 99%

Hybrid Laminate for Haptic Input Device with Integrated Signal Processing

et al. 2018

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Featured Application: haptic input device for car interior or structural health monitoring crash relevant components.Abstract: Achieving lightweight construction through only material substitution does not realize the full potential of producing a lightweight material, hence, it is no longer sufficient. Weight-saving goals are best achieved through additional function integration. In order to implement this premise for mass production, a manufacturing process for joining and forming hybrid laminates using a new tool concept is presented. All materials used are widely producible and processable. The manufactured cover of an automotive center console serves to demonstrate a human interface device with impact detection and action execution. This is only possible through a machine learning system, which is implemented on a small-and thus space-and energy-saving-embedded system. The measurement results confirm the objective and show that localization was sufficiently accurate.

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Hardware Software Co-Design for Impact Localization using Hybrid Laminates

Lede,

Schmidt,

Böhle

et al. 2023

ESS

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Impact detection using piezoelectric sensors is an actual and widespread research field. The current work provides an approach for a real-time realization of an impact detection system using deep learning methods. For realization a hardware software co-design approach is used utilizing hardware acceleration by a continuous pipelining FPGA structure. The concept describes the hardware software partitioning of the underlying functions and the methodology for ensuring continuous data processing and the associated real-time capability. The behavior of the hardware is realized with the help of a finite state machine and thus the correctness of the data is ensured and the impact identification is realized. The results show the real-time capability as well as a reasonable resource utilization of the FPGA design.

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Machine learning algorithms for impact localization on formed piezo metal composites

Cited by 3 publications

References 11 publications

Evaluation of Signal Features used for Impact Localization on a Center Console with Piezoceramic Sensors

Evaluation of Signal Features used for Impact Localization on a Center Console with Piezoceramic Sensors

Hybrid Laminate for Haptic Input Device with Integrated Signal Processing

Hardware Software Co-Design for Impact Localization using Hybrid Laminates

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