Lucas Noldus

Lucas Noldus
Noldus Information Technology | NOLDUS

PhD

About

184
Publications
61,232
Reads
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4,557
Citations
Introduction
Within Noldus Information Technology, besides serving as CEO, I supervise research, innovation and the transfer of novel concepts and prototypes to product development. I also initiate collaboration and business partnerships with other companies and research institutes.
Additional affiliations
November 1989 - present
Noldus Information Technology
Position
  • Founder & CEO
Description
  • Developer of innovative software and integrated solutions for behavioral research
January 1986 - October 1989
Wageningen University & Research
Position
  • Researcher
January 1985 - December 1985
United States Department of Agriculture
Position
  • Researcher
Education
January 1986 - October 1989
Wageningen University & Research
Field of study
  • Behavioral ecology
August 1977 - December 1983
Leiden University
Field of study
  • Biology
August 1971 - June 1977
Sint-Oelbert Gymnasium
Field of study

Publications

Publications (184)
Article
The behavior of individuals determines the strength and outcome of ecological interactions, which drive population, community, and ecosystem organization. Bio-logging, such as telemetry and animal-borne imaging, provides essential individual viewpoints, tracks, and life histories, but requires capture of individuals and is often impractical to scal...
Conference Paper
Full-text available
We present a new suite of tools for automated measurement of user-system interaction on mobile devices. The system combines measurements of the usage of mobile apps, with a visual representation of the user’s location and behavior. This makes it possible to assess not only what the user is doing on the smartphone or tablet, but also what he or she...
Article
Full-text available
In drug discovery and development, traditional assessment of human patients and preclinical subjects occurs at limited time points in potentially stressful surroundings (i.e., the clinic or a test arena), which can impact data quality and welfare. However, recent advances in remote digital monitoring technologies enable the assessment of human pati...
Article
Full-text available
Academic Core Facilities are optimally situated to improve the quality of preclinical research by implementing quality control measures and offering these to their users.
Article
Full-text available
The reproducibility crisis (or replication crisis) in biomedical research is a particularly existential and under-addressed issue in the field of behavioral neuroscience, where, in spite of efforts to standardize testing and assay protocols, several known and unknown sources of confounding environmental factors add to variance. Human interference i...
Chapter
In food science, explicit measures such as liking scores have dominated studies in consumer and sensory research, but implicit measures such as heart rate and skin conductance are becoming more and more popular. We argue that implicit measures of food experience should not be regarded as a more expensive and more complex equivalent of established e...
Article
Full-text available
Recently, a petition was offered to the European Commission calling for an immediate ban on animal testing. Although a Europe-wide moratorium on the use of animals in science is not yet possible, there has been a push by the non-scientific community and politicians for a rapid transition to animal-free innovations. Although there are benefits for b...
Article
Full-text available
Implicit and explicit measures are typically combined in laboratory food studies. Results of these laboratory studies often show little additional value of implicit compared to explicit measures. We argue that implicit measures of food experience should not be regarded as a more expensive and more complex equivalent of established explicit measures...
Article
Recently, a petition was offered to the European Commission calling for an immediate ban on animal testing. Although a Europe-wide moratorium on the use of animals in science is not yet possible, there has been a push by the non-scientific community and politicians for a rapid transition to animal-free innovations. Although there are benefits for b...
Chapter
In this chapter, we address how one can detect and measure specific behaviors in zebrafish, from the embryonic stage to adulthood, and in various behavioral paradigms using automated, image-based analysis software. In the first section, we address the measurement of activity in embryos and heart rate in larvae. For the larval stage, we also show ho...
Article
Automated observation and analysis of rodent behavior is important to facilitate research progress in neuroscience and pharmacology. Available automated systems lack adaptivity and can benefit from advances in AI. In this work we compare a state-of-the-art conventional Rat Behavior Recognition (RBR) system to an advanced deep learning method and ev...
Conference Paper
Full-text available
In this work we employ multitask learning to capitalize on the structure that exists in related supervised tasks to train complex neural networks. It allows training a network for multiple objectives in parallel, in order to improve performance on at least one of them by capitalizing on a shared representation that is developed to accommodate more...
Preprint
Full-text available
In this work we employ multitask learning to capitalize on the structure that exists in related supervised tasks to train complex neural networks. It allows training a network for multiple objectives in parallel, in order to improve performance on at least one of them by capitalizing on a shared representation that is developed to accommodate more...
Article
Full-text available
Inconsistent findings between laboratories are hampering scientific progress and are of increasing public concern. Differences in laboratory environment is a known factor contributing to poor reproducibility of findings between research sites, and well-controlled multisite efforts are an important next step to identify the relevant factors needed t...
Conference Paper
Full-text available
Egocentric vision is an emerging field of computer vision that is characterized by the acquisition of images and video from the first person perspective. In this paper we address the challenge of egocentric human action recognition by utilizing the presence and position of detected regions of interest in the scene explicitly, without further use of...
Preprint
Full-text available
Egocentric vision is an emerging field of computer vision that is characterized by the acquisition of images and video from the first person perspective. In this paper we address the challenge of egocentric human action recognition by utilizing the presence and position of detected regions of interest in the scene explicitly, without further use of...
Chapter
Egocentric vision has emerged in the daily practice of application domains such as lifelogging, activity monitoring, robot navigation and the analysis of social interactions. Plenty of research focuses on location detection and activity recognition, with applications in the area of Ambient Assisted Living. The basis of this work is the idea that in...
Article
Full-text available
Host-plant resistance to insects like thrips and aphids is a complex trait that is difficult to phenotype quickly and reliably. Here, we introduce novel hardware and software to facilitate insect choice assays and automate the acquisition and analysis of movement tracks. The hardware consists of an array of individual T-mazes allowing simultaneous...
Data
Automatically generated statistical analysis by the EthoAnalysis software using the F1 settings. This represents the most extensive format. Optional are reports with only the main results.
Conference Paper
Full-text available
We are researching the use of egocentric vision in the area of Human Action Recognition. Inspired from recent advances in activity recognition from video using deep learning, we investigate the detection performance of Long Short-Term Memory networks on an elementary set of Activities of Daily Living, based on the detected objects in the scene.
Conference Paper
Egocentric vision is a technology that exists in a variety of fields such as life-logging, sports recording and robot navigation. Plenty of research work focuses on location detection and activity recognition, with applications in the area of Ambient Assisted Living. The basis of this work is the idea that locations can be characterized by the pres...
Article
Speed is a key trait of animal movement, and while much is already known about vertebrate speed and how it scales with body mass, studies on invertebrates are sparse, especially across diverse taxonomic groups. Here, we used automated image-based tracking to characterize the exploratory (voluntary) speed of 173 invertebrates comprising 57 species a...
Article
Background: Social behavior is an important aspect of rodent models. Automated measuring tools that make use of video analysis and machine learning are an increasingly attractive alternative to manual annotation. Because machine learning-based methods need to be trained, it is important that they are validated using data from different experiment...
Chapter
Full-text available
With increasingly complex user interfaces and advancing automation, measuring the state of the driver has never been more important. By using sensor fusion techniques we combine information from multiple sources to accurately and robustly measure the driver’s state—drowsiness and attention, workload and cognitive load, pleasure and anxiety. Only by...
Chapter
Full-text available
We describe the development of body area networks (BANs) incorporating sensors and other devices to provide intelligent mobile services in healthcare and well-being. The first BAN applications were designed to simply transmit biosignals and display them remotely. Further developments include analysis and interpretation of biosignals in the light of...
Conference Paper
For the objective measurement of animal behavior from video, automated recognition systems are frequently employed. These systems rely on action models learned from labeled example videos. Manually labeling videos of animal behavior however is time consuming and error-prone. We propose to reduce the labeling effort by selecting suitable training in...
Article
Full-text available
Piercing-sucking insects cause severe damage in crops. Breeding for host-plant resistance can significantly reduce the yield losses caused by these insects, but host-plant resistance is a complex trait that is difficult to phenotype quickly and reliably. Current phenotyping methods mainly focus on labor-intensive and time-consuming end-point measur...
Conference Paper
Full-text available
We investigate how video-based recognition of rat social behavior is affected by the quality of the tracking data and the derived feature set. We look at the impact of two common tracking errors - animal misidentification and inaccurate localization of body parts. We further examine how the complexity of representing the articulated body in the fea...
Poster
ERRATA - The actual authors are Stewart, A.M., F. Grieco, R.A.J. Tegelenbosch, A. Kaluyeva, L.P.J.J. Noldus and A.V. Kalueff (2015). A novel 3D method of locomotor analysis in adult zebrafish: implications for automated detection of CNS drug-evoked phenotypes. Poster presented at the 6th ISBS Regional Conference, Kobe, Japan, July 26-27, 2015).
Conference Paper
Full-text available
Tracking the location and movement of cows in a barn gives insight into the behavior, health and welfare of cows. That information can be used for oestrus detection, lameness detection and allows for social relations in a herd to be studied. In order to carry out those studies, a system for recognition and analysis of spatial behavior (TrackLab) ha...
Article
Full-text available
Background: Piercing-sucking insects are major vectors of plant viruses causing significant yield losses in crops. Functional genomics of plant resistance to these insects would greatly benefit from the availability of highthroughput, quantitative phenotyping methods. Results: We have developed an automated video tracking platform that quantifies a...
Conference Paper
Full-text available
Measuring a person’s behavior in any kind of domain by a computer system, starts with measuring and analyzing that person’s movements. Video technology provides an unobtrusive way of capturing this information. In this paper, we will focus on articulated tracking, which is the field of estimating and tracking the body pose of a person. A pose consi...
Conference Paper
Full-text available
In this paper, we present the multimodal eating behaviour dataset called iEatSet (iCareNet Multimodal Eating Behaviour DataSet). iEatSet shall serve as an algorithm benchmark dataset and aims to facilitate research in automatic dietary monitoring, eating recognition, and activity recognition in general. iEatSet provides multimodal synchronised data...
Conference Paper
Full-text available
The ambition of modern farming is to have a productive, healthy and happy livestock. To achieve this, there is a growing demand for information about the individual animal as well as the group. However, because of the growing number of livestock per farm there is less time for the farmer to observe each individual animal. Precision Livestock Farmin...
Conference Paper
Full-text available
and in-vehicle information systems (IVIS) have introduced computer technology in cars. Despite the aim of a significant number of these systems to support drivers they can also increase the complexity of driving. Combining this with the fact that distraction plays a role in most (near) accidents, it is crucial to ensure that newly introduced system...
Conference Paper
Full-text available
Rodent behavior analysis is a extremely important task for pre-clinical testing of new drugs and neuro-degenerative diseases. Some of the underlying mechanisms regulating natural interactions among multiple animals require long term interaction, which implies the usage of automated, objective and systematic video analysis system. However, current v...
Chapter
Full-text available
We describe the development of Body Area Networks (BANs) incorporating sensors and other devices to provide intelligent mobile services in healthcare and wellbeing. The first BAN applications were designed to simply transmit biosignals and display them remotely. Further developments include analysis and interpretation of biosignals in the light of...
Conference Paper
Full-text available
With the ever increasing computerization in vehicles it becomes essential to assess the impact these technologies have on drivers. DriveLab is an easy to use system for measuring and analyzing driver behavior. Introduced by Green Dino, Noldus Information Technology and SmartEye, it is designed to support researchers’ need to quickly record and anal...
Conference Paper
Full-text available
We present a new suite of tools for automated measurement of user-system interaction on mobile devices. The system combines measurements of the usage of mobile apps, with a visual representation of the user’s location and behavior. This makes it possible to assess not only what the user is doing on the smartphone or tablet, but also what he or she...
Article
Full-text available
The establishment of robust and replicable behavioural testing paradigms with translational value for psychiatric diseases is a major step forward in developing and testing etiology-directed treatment for these complex disorders. Based on the existing literature, we have generated an inventory of applied rodent behavioural testing paradigms relevan...
Article
Full-text available
Lewy bodies and neurites are the pathological hallmark of Parkinson's disease. These structures are composed of fibrillized and ubiquitinated alpha-synuclein suggesting that impaired protein clearance is an important event in aggregate formation. The A30P mutation is known for its fast oligomerization, but slow fibrillization rate. Despite its toxi...
Article
There are indications of motor circuit changes in patients with complex regional pain syndrome (CRPS). Nevertheless, although several studies have analyzed motor behavior in CRPS, a relation with pain could not be detected. This might be explained by the use of cross-sectional designs in these studies, in which pain is considered as a trait- rather...
Chapter
Full-text available
In this chapter we compare two application domains in which the tracking of objects and the analysis of their movements are core activities, viz. animal tracking and vessel tracking. More specifically, we investigate whether EthoVision XT, a research tool for video tracking and analysis of the behavior, movement, and activities of animals in a labo...
Conference Paper
Full-text available
Tracking animals with the Global Navigation Satellite Systems (GNSS), of which GPS is the most commonly used, has become an important research method for studying wildlife behaviour. Frequently this is for studying large-scale movements such as migration (e.g. van Wijk et al 2011) or resource use within a territory (Cagnacci et al. 2010). However,...
Conference Paper
Full-text available
TrackLab is a new tool for measurement, recognition and analysis of spatial behavior. Although a number of software packages have been developed which can, for instance, acquire tracking data or analyze that data, there is currently no one system which supports the entire workflow. TrackLab supports import from a wide variety of input formats, both...
Article
Full-text available
Female mosquitoes use odor and heat as cues to navigate to a suitable landing site on their blood host. The way these cues affect flight behavior and modulate anemotactic responses, however, is poorly understood. We studied in-flight behavioral responses of females of the nocturnal malaria mosquito Anopheles gambiae sensu stricto to human odor and...
Data
Movement parameters calculated by Track3D. (DOCX)