Object Positioning Algorithm Based on Multidimensional Scaling and Optimization for Synthetic Gesture Data Generation Sáez Mingorance, Borja Escobar Molero, Antonio Méndez Gómez, Javier Castillo Morales, María Encarnación Morales Santos, Diego Pedro Infraestructure positioning Object positioning Multidimensional scaling Trajectory optimization Ultrasound Synthetic data generation Part of this work has been developed in the context of the project "SEMULIN" (German project number 19A20012D) and financed by the German Federal Ministry for Economic Affairs and Energy (BMWi), and the project P20-00265 funded by the "Junta de Andalucia" of Spain. This work studies the feasibility of a novel two-step algorithm for infrastructure and object positioning, using pairwise distances. The proposal is based on the optimization algorithms, Scaling-by-Majorizing-a-Complicated-Function and the Limited-Memory-Broyden-Fletcher- Goldfarb-Shannon. A qualitative evaluation of these algorithms is performed for 3D positioning. As the final stage, smoothing filtering techniques are applied to estimate the trajectory, from the previously obtained positions. This approach can also be used as a synthetic gesture data generator framework. This framework is independent from the hardware and can be used to simulate the estimation of trajectories from noisy distances gathered with a large range of sensors by modifying the noise properties of the initial distances. The framework is validated, using a system of ultrasound transceivers. The results show this framework to be an efficient and simple positioning and filtering approach, accurately reconstructing the real path followed by the mobile object while maintaining low latency. Furthermore, these capabilities can be exploited by using the proposed algorithms for synthetic data generation, as demonstrated in this work, where synthetic ultrasound gesture data are generated. 2021-10-18T07:54:12Z 2021-10-18T07:54:12Z 2021-09-03 info:eu-repo/semantics/article Saez-Mingorance, B... [et al.]. Object Positioning Algorithm Based on Multidimensional Scaling and Optimization for Synthetic Gesture Data Generation. Sensors 2021, 21, 5923. [https://doi.org/10.3390/s21175923] http://hdl.handle.net/10481/70914 10.3390/s21175923 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI