TY - CHAP AU - Kabir, Md Shahriar AU - Alamgeer, Sana AU - Debnath, Minakshi AU - Ngu, Anne H. H. TI - TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare T2 - 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC) PB - IEEE CY - Piscataway (NJ) SN - 9798331574345 PY - 2025 SP - 866 EP - 875 PG - 10 DO - 10.1109/COMPSAC65507.2025.00114 UR - https://m2.mtmt.hu/api/publication/36540717 ID - 36540717 N1 - ISSN:2836-3787 LA - English DB - MTMT ER - TY - JOUR AU - Lu, Shaoyi AU - Chen, Jingtian AU - Li, Huifang AU - Zhang, Li AU - Insperger, Tamás AU - Stépán, Gábor TI - A switched optimal control strategy in human balancing on a harmonically moving platform JF - JOURNAL OF BIOMECHANICS J2 - J BIOMECH VL - 191 PY - 2025 PG - 9 SN - 0021-9290 DO - 10.1016/j.jbiomech.2025.112923 UR - https://m2.mtmt.hu/api/publication/36339102 ID - 36339102 N1 - Funding Agency and Grant Number: National Natural Science Foundation of China [12272167]; National Research, Development and Innovation Office of Hungary [NKFI-K138621]; HUN-REN Hungarian Research Network Funding text: This work was supported in part by the National Natural Science Foundation of China [Grant no. 12272167] , the National Research, Development and Innovation Office of Hungary [Grant no. NKFI-K138621] and the HUN-REN Hungarian Research Network. We are grateful to Bauer Balazs for his help in improving the language and clarity of the manuscript. AB - Postural balance is crucial for human daily activities, and understanding the neural-motor control mechanisms underlying balance performance is essential for improving diagnosis and intervention strategies for balance disorders. This study focuses on the human standing balance task on a harmonically moving platform with anterior-posterior translation, exploring the neural-motor control logic using a switched control strategy. It is hypothesized that humans switch between optimal energy gains and optimal decay gains to maintain balance in a safe and energy-efficient manner with the usage of optimal decay gains being closely related to balancing ability. A two-stage identification process is employed to determine switching time instances, starting with the adjoint method to estimate control gains and followed by the enumeration of gain switching instances. The proposed postural stability assessment indices, Control Strategy Ratio and Control Switch Frequency, offer clear physical interpretations and dynamic insights, demonstrating better consistency and sensitivity compared to some stabilometry parameters. These indices show potential for early diagnosis and intervention in balance disorders. LA - English DB - MTMT ER - TY - JOUR AU - Russo, Marta AU - Maselli, Antonella AU - Sternad, Dagmar AU - Pezzulo, Giovanni TI - Predictive strategies for the control of complex motor skills: recent insights into individual and joint actions JF - CURRENT OPINION IN BEHAVIORAL SCIENCES J2 - CURR OPIN BEHAV SCI VL - 63 PY - 2025 PG - 8 SN - 2352-1546 DO - 10.1016/j.cobeha.2025.101519 UR - https://m2.mtmt.hu/api/publication/36699612 ID - 36699612 LA - English DB - MTMT ER - TY - JOUR AU - Balogh, Tamás AU - Kovács, Balázs András AU - Insperger, Tamás TI - Human performance in virtual stabilization of a fractional-order system with reaction delay JF - JOURNAL OF THE ROYAL SOCIETY INTERFACE J2 - J R SOC INTERFACE VL - 21 PY - 2024 IS - 215 PG - 13 SN - 1742-5689 DO - 10.1098/rsif.2023.0685 UR - https://m2.mtmt.hu/api/publication/35085873 ID - 35085873 N1 - Funding text: The research reported in this article has been supported by the National Research, Development and Innovation Office (Grant no.NKFI-K138621), by the HUN-REN Hungarian Research Network and by Project no. TKP-9-8/PALY-2021, which has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme. AB - Virtual balancing tasks facilitate the study of human motion control: human reaction to the change of artificially introduced parameters can be studied in a computer environment. In this article, the dynamics of human stick balancing are generalized using fractional-order derivatives. Reaction delay sets a strong limitation on the length of the shortest stick that human subjects can balance. Human processing of visual input also exhibits a memory effect, which can be modelled by fractional-order derivatives. Therefore, we hypothesize a delayed fractional-order PD control of the unstable fractional-order process. The resulting equation of motion is investigated in a dimensionless framework, and stabilizability limits are determined as a function of the dynamics's order. These theoretical limits are then compared with the results of a systematic series of virtual balancing tests performed by 18 subjects. The comparison shows that the theoretical stabilizability limits for controllers with fixed fractional order correspond to the measured data points. The best fit is obtained if the fractional order of the underlying control law is 0.475. LA - English DB - MTMT ER - TY - JOUR AU - Debnath, Minakshi AU - Chang, Joshua AU - Bhandari, Keshav AU - Nagy, Dalma AU - Insperger, Tamás AU - Milton, John G. AU - Ngu, Anne H. H. TI - Pole balancing on the fingertip: model-motivated machine learning forecasting of falls JF - FRONTIERS IN PHYSIOLOGY J2 - FRONT PHYSIOL VL - 15 PY - 2024 PG - 13 SN - 1664-042X DO - 10.3389/fphys.2024.1334396 UR - https://m2.mtmt.hu/api/publication/34767934 ID - 34767934 AB - Introduction: There is increasing interest in developing mathematical and computational models to forecast adverse events in physiological systems. Examples include falls, the onset of fatal cardiac arrhythmias, and adverse surgical outcomes. However, the dynamics of physiological systems are known to be exceedingly complex and perhaps even chaotic. Since no model can be perfect, it becomes important to understand how forecasting can be improved, especially when training data is limited. An adverse event that can be readily studied in the laboratory is the occurrence of stick falls when humans attempt to balance a stick on their fingertips. Over the last 20 years, this task has been extensively investigated experimentally, and presently detailed mathematical models are available. LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Dalma AU - Insperger, Tamás TI - The Critical Length is a Good Measure to Distinguish between Stick Balancing in the ML and AP Directions JF - PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING J2 - PERIOD POLYTECH MECH ENG VL - 67 PY - 2023 IS - 4 SP - 303 EP - 314 PG - 12 SN - 0324-6051 DO - 10.3311/PPme.22937 UR - https://m2.mtmt.hu/api/publication/34289794 ID - 34289794 AB - Seven novice subjects participated in experiments of stick balancing on a linear track in the anterior-posterior (AP) and the medio-lateral (ML) directions. The goal of the experiments was to test how the depth perception in the subjects' AP direction affects balancing performance compared to balancing in the ML direction, where depth perception does not play a role. It is easier to balance longer sticks than shorter ones, therefore balancing performance is measured by the length of the shortest stick that subjects can balance. Subjects were found to be able to balance shorter sticks in the ML direction than in the AP direction: the ratio of the shortest stick lengths in the ML direction relative to the AP direction was in average 0.53. Thus, the additional challenge posed by depth perception in the AP direction is clearly observable. Additionally, repeated trials were carried out for 5 consecutive days to assess the development of balancing skill by using stabilometry analysis. The maximal balance time of the subjects significantly increased with the days of practice. LA - English DB - MTMT ER -