24 papers · ranked by Valyu relevance
Patryk Łaś, Piotr Wiśniowski, Andrea Randazzo
Basic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration. However, current approaches for detecting basic activities such as movements or…
Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé
A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A variant of this method allows to select a sample from a stream. At each step, the decision to take the units successively according to the…
Takumi Kitsukawa, Katsutoshi Miura, Shigeki Yumoto, Sarthak Pathak + 2 more
'Alessandro Moro' 'Kazunori Umeda'] In this paper, a progress recognition method consider occlusion using deep metric learning is proposed to visualize the product assembly process in a factory. First, the target assembly product is detected from images acquired from a fixed-point camera installed in the factory using…
Erik K. Henricson, Albara Ah Ramli, Hui Huang
Accurate estimation of gait characteristics, including step length, step velocity, and travel distance, is critical for assessing mobility in toddlers, children, and teens with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers. This study introduces a novel method leveraging Fast Fourier Transform…
Piotr Wozniak, Paweł Penar, Damian Bielecki, Roberto Vezzani
In this paper, we present a stair detection algorithm verified on various platforms, including a real quadruped robot. The proposed approach detects dangerous situations, such as proximity to stairs, in real time, enabling the robot to move safely. In our research, we utilized data collected by a moving four-legged…
Alexander T. Sentinella, Angela T. Moles, Jason G. Bragg, Maurizio Rossetto + 2 more
'Maurizio Rossetto' 'William B. Sherwin' 'Francesc Calafell'] Accurately detecting sudden changes, or steps, in genetic diversity across landscapes is important for locating barriers to gene flow, identifying selectively important loci, and defining management units. However, there are many metrics that researchers…
Ivar Holm, Jonatan Fridolfsson, Mats Börjesson, Daniel Arvidsson
Background The number of steps by an individual, has traditionally been assessed with a pedometer, but increasingly with an accelerometer. The ActiLife software (AL) is the most common way to process accelerometer data to steps, but it is not open source which could aid understanding of measurement errors. The aim of…
James M. Osborne
In recent years, multi–cellular models, where cells are represented as individual interacting entities, are becoming ever popular. This has led to a proliferation of novel methods and simulation tools. The first aim of this paper is to review the numerical methods utilised by multi–cellular modelling tools and to…
Quentin Lucot, Erwan Beurienne, Michel Behr, Giovanni Saggio
Step counting devices were previously shown to be efficient in a variety of applications such as athletic training or patient’s care programs. Various sensor placements and algorithms were previously experimented, with a best mean absolute percentage error (MAPE) close to 1% in simple mono-activity walking conditions.…
Weiliang Chen, Tristan Carel, Omar Awile, Nicola Cantarutti + 11 more
Recent advances in computational neuroscience have demonstrated the usefulness and importance of stochastic, spatial reaction-diffusion simulations. However, ever increasing model complexity renders traditional serial solvers, as well as naive parallel implementations, inadequate. This paper introduces a new generation…
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis + 3 more
'Animesh Garg' 'Richard P. Wildes' 'Allan D. Jepson'] Instructional videos are an important resource to learn procedural tasks from human demonstrations. However, the instruction steps in such videos are typically short and sparse, with most of the video being irrelevant to the procedure. This motivates the need to…
Jonathan B. Dingwell, Anna C. Render, David M. Desmet, Joseph P. Cusumano
People rarely walk in straight lines. Instead, we make frequent turns or other maneuvers. Spatiotemporal parameters fundamentally characterize gait. For straight walking, these parameters are well-defined for that task of walking on a straight path. Generalizing these concepts to non-straight walking, however, is not…
Markus Pfeil, Thomas Slawig
The reduction of the computational effort is desirable for the simulation of marine ecosystem models. Using a marine ecosystem model, the assessment and the validation of annual periodic solutions (i.e., steady annual cycles) against observational data are crucial to identify biogeochemical processes, which, for…
Roland Stenger, Hawzhin Hozhabr Pour, Jonas Teich, Andreas Hein + 2 more
Changes in gait are associated with an increased risk of falling and may indicate the presence of movement disorders related to neurological diseases or age-related weakness. Continuous monitoring based on inertial measurement unit (IMU) sensor data can effectively estimate gait parameters that reflect changes in gait…
Samuel Genheden, Esben Bjerrum
We introduce a framework for benchmarking multi-step retrosynthesis methods, i.e. route predictions, called PaRoutes. The framework consists of two sets of 10,000 synthetic routes extracted from the patent literature, a list of stock compounds, and a curated set of reactions on which one-step retrosynthesis models can…
Valeria Filippou, Michael R. Backhouse, Anthony C. Redmond, David C. Wong + 5 more
'David C. Wong' 'Ioannis Yiannis Kompatsiaris' 'Stefanos Vrochidis' 'Georgios Meditskos' 'Periklis Chatzimisios' 'Athina Tsanousa'] This study aimed to develop and evaluate a new step-count algorithm, StepMatchDTWBA, for the accurate measurement of physical activity using wearable devices in both healthy and…
Alex Rojewski, Maxwell Schweiger, Ioannis Sgouralis, Matthew Comstock + 1 more
Noisy time-series data is commonly collected from sources including Förster Resonance Energy Transfer experiments, patch clamp and force spectroscopy setups, among many others. Two of the most common paradigms for the detection of discrete transitions in such time-series data include: hidden Markov models (HMMs) and…
Max F.K. Wills, Carlos Bueno Alejo, Nikolas Hundt, Andrew J. Hudson + 1 more
The identification of photobleaching steps in single molecule fluorescence imaging is a well-established procedure for analysing the stoichiometries of molecular complexes. Nonetheless, the method is challenging with protein fluorophores because of the high levels of noise, rapid bleaching and very variable signal…
Georg Heinze, Anne‐Laure Boulesteix, Michael N. Kammer, Tim P. Morris + 1 more
'Tim P. Morris' 'Ian R. White'] | 1 | Section for Clinical Biometrics | | --- | --- | | | Center for Medical Statistics, Informatics and Intelligent Systems | | | Medical University of Vienna | | | Vienna, Austria | | 2 | Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, | | | Germany…
Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li + 2 more
The abundance of instructional videos and their narrations over the Internet offers an exciting avenue for understanding procedural activities. In this work, we propose to learn video representation that encodes both action steps and their temporal ordering, based on a large-scale dataset of web instructional videos…
Authors not listed
Two kinetic schemes of the general modifier mechanism have been analysed in a quasi-steady state approximation, assuming that the reaction product concentration is negligible (a natural assumption for the initial rate method) and without additional simplifying assumptions. The characteristic equations have been…
Authors not listed
This paper presents a simplified model of iterative compound optimization in drug/agrochemical discovery. Compounds are represented as binary strings, with project evolution simulated through random bit changes. The model reproduces key statistical features of real projects, including activity distributions and…
Petr Kuzmic
The mathematics and geometry of the "kobs" method under the tight-binding experimental conditions, when inhibitor depletion is significant, has not been fully explored in the existing biochemical kinetic literature. It is shown here that under tight-binding conditions a plot of the pseudo-first order rate constant…
Wenyu Zhang, Mason Guy, Jerrica Yang, Lucy Hao + 5 more
Large Language Models (LLMs) have revolutionized numerous industries as well as accelerated scientific research. However, their application in planning and conducting experimental science, has been limited. In this study, we introduce an adaptable prompt-set with GPT-4, converting literature experimental procedures…