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A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
2019
Proceedings (MDPI)
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The proposed framework moves beyond the current trends in automatic behaviour analysis by detecting and inferring human behaviour automatically, based on multimodal sensor data. ...
However, most of the existing studies focus on detecting human behaviour under the limitation of one behavioural aspect, such as physical behaviour and not addressing human behaviour in a broad sense. ...
This work has also been supported by the Dutch UT-CTIT project HoliBehave and in collaboration with the research project "Advanced Computing Architectures and Machine Learning-Based Solutions for Complex ...
doi:10.3390/proceedings2019031043
fatcat:gsm2ojwabbdn5op7234jrayicm
Modelling user attention for human-agent interaction
2009
2009 10th Workshop on Image Analysis for Multimedia Interactive Services
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We discuss potential applications of such a system, particularly with respect to evaluating user attentive behaviour during human-agent interactions and as a more natural interface for interacting with ...
In this work, we propose a design for a user attention model featuring three core components. ...
The user attention model has the potential be used for enhancing interactions with an Embodied Conversational Agent, or ECA, in two ways: first of all, for evaluating human behaviour during human-agent ...
doi:10.1109/wiamis.2009.5031484
dblp:conf/wiamis/PetersAR09
fatcat:uuipzhltvbg37iytkvklykw5cq
The "Human Sensor:" Bridging Between Human Data and Services
[chapter]
2013
Handbook of Human Computation
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First, we describe how the increasing ubiquity of digital systems is facilitating the creation of streams of human data. ...
The chapter concludes with three open research challenges, related to understanding the context of data creation, the systems that are designed to use this data, and how to best architect a bridge between ...
Drawing from the previous example [26] , some systems directly associate behaviour with data; in this case, sensor streams are 'labelled' with the user's current activity. ...
doi:10.1007/978-1-4614-8806-4_45
fatcat:4vjhlyear5c2nprasqqzr6dm6a
Bridging the gap between business process models and service-oriented architectures with reference to the grid environment
2011
International Journal of Grid and Utility Computing
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The handshaking protocol is used to ensure that the human user is connected with a user interface to interact with the required process activities at run-time. ...
Human roles or activities (i.e. activities with human intervention) can be simulated and executed in pi-ADL using a terminal node. ...
For example, in Figure B .1 (b) the following steps are executed in sequence to perform a part interaction activity: (1) Likewise to a service provider in an SOA model, all roles register one dedicated ...
doi:10.1504/ijguc.2011.042943
fatcat:n3gbmao7jvcyhhk26ff3s4rqwu
Combining Users' Activity Survey and Simulators to Evaluate Human Activity Recognition Systems
2015
Sensors
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Evaluating human activity recognition systems usually implies following 1 expensive and time consuming methodologies, where experiments with humans are run with 2 the consequent ethical and legal issues ...
Surveys allow capturing how different users perform activities of 5 daily living, while the synthetic dataset generator is used to create properly labelled activity 6 datasets modelled with the information ...
On the other hand, to model human behaviour appropriately, acquiring activity models is not enough.It is very important to know what activities are performed by a given user in a daily basis, alongside ...
doi:10.3390/s150408192
pmid:25856329
pmcid:PMC4431271
fatcat:zbtmccdrb5bdnm7a6ilva3eiv4
Artificial intelligence language models and the false fantasy of participatory language policies
2021
Working papers in Applied Linguistics and Linguistics at York
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Artificial intelligence neural language models learn from a corpus of online language data, often drawn directly from user-generated content through crowdsourcing or the gift economy, bypassing traditional ...
Through the participatory language work of users, linguistic diversity, accessibility, personalization, and inclusion can be increased. ...
Regulating human language behaviour Interactions between artificial intelligence and humans create new forms of data that inform future human decisions and behaviours. ...
doi:10.25071/2564-2855.5
fatcat:fnb7riqntvfc7of4yw3j6ev4j4
Performance Driven-biped Control for Animated Human Model with Motion Synthesis Data
2018
Journal of Information Systems Engineering and Business Intelligence
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The controller is capable to perform motion blending with inverse and forward kinematics, as a result it able to generate the realistic behaviour along with user intention. ...
However, there are few difficulties on realizing this idea, such as user objective and the appropriate behaviour of virtual human. ...
If the value of strut is increase then, humanoid model will perform strut behaviour with quite powerful run (jogging 50). ...
doi:10.20473/jisebi.4.2.162-168
fatcat:vim3zfuelnasvlsa26aznahjza
Wearable devices and AI techniques integration to promote physical activity
2016
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI '16
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Mobile technologies offer several opportunities for supporting PA, especially if combined with psychological aspects, model-based reasoning systems and personalized human computer interaction. ...
Physical activity (PA) is considered one of the most important factors for the prevention and management of non-communicable diseases (NCDs). ...
Another expected result is the development of a huge database of objective data about the PA accomplishment, in order to improve the analysis of user feedbacks with less subjective information. ...
doi:10.1145/2957265.2965011
dblp:conf/mhci/BarettaSGMSBDS16
fatcat:dec4wvacdzejpjhprinmfozxsa
Integrating planning and scheduling in workflow domains
2007
Expert systems with applications
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WFMS co-ordinates user and system participants, together with the appropriate data resources, which may be accessible directly by the system or off-line to achieve defined goals by setting deadlines. ...
Usually, the task of defining those models is performed with the aid of a set of tools that provide a graphical representation of them, together with the relations among the activities that occur within ...
Through talks with him we have outlined many ideas. This work has also been partially funded by grant MCyT TIC2002-04146-C05-05 and the UAH project PI2005/084. ...
doi:10.1016/j.eswa.2006.05.027
fatcat:bg4zwryjibgjlceh6lpcbupeiq
Improved Hybrid Machine Learning User Behavioural Model for Secured Smart Homes
2021
Zenodo
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Keywordst; Internet of Things, Smart home, Human Activity Recognition, Security, User Behaviour Analysis, Anomaly detection. ...
Another model called human activity recognition (HAR) was developed with Gaussian naïve bayes to interface with UBA for collection of information from the home. ...
This paper presents a ML model 'Sensor-Based Human Activity Recognition', where a human activity recognition model (HAR) that captures data from its environment and translates them into labelled activities ...
doi:10.5281/zenodo.5501975
fatcat:mvp6b4uubrgr3j7rkxrrohux6e
A fuzzy ontology for semantic modelling and recognition of human behaviour
2014
Knowledge-Based Systems
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We propose a fuzzy ontology for human activity representation, which allows us to model and reason about vague, incomplete, and uncertain knowledge. ...
The resulting fuzzy OWL 2 ontology is able to model uncertain knowledge and represent temporal relationships between activities using an underlying fuzzy state machine representation. ...
We also thank Fernando Bobillo and Robin Wikström for their advice with FuzzyOWL and fuzzyDL tools. ...
doi:10.1016/j.knosys.2014.04.016
fatcat:fjkpauxkqffp5hcm7nxji56shu
Artificial Reasoners for Human Process Supervision
2000
Inteligencia Artificial
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The main issue is the modelling of different human reasoning styles implemented as Reference Artificial Reasoners (RAR), and the study of decision sequences in front of several dynamic processes. ...
In this paper, an adaptive tool able to generate different types of dynamical systems with increasing difficulty degrees is presented. ...
One possible way is to design a set of artificial reasoners (AR) in order to compare each of them with the human behaviour data [1] . ...
doi:10.4114/ia.v4i9.656
fatcat:fgizssghybgrrd7y4hafckmo3m
Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch
[article]
2021
arXiv
pre-print
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This modality is related to change in human behaviour over time. ...
data. ...
Since human behaviours evolve over time, it is necessary that the user verification model also adapts to the behavioural changes, thus the overall improvement of the model happens with time which will, ...
arXiv:2110.03149v1
fatcat:43njkb25cze3vdsjjcv5b7myga
Physiological Computing: Interfacing with the Human Nervous System
[chapter]
2010
Sensing Emotions
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This chapter describes the physiological computing paradigm where electrophysiological changes from the human nervous system are used to interface with a computer system in real time. ...
The chapter also discusses a number of fundamental issues for the design of physiological computing system, these include: the inference between physiology and behaviour, how the system represents behaviour ...
Central to this idealised interaction is the need to synchronise users' models of system functionality, performance characteristics etc. with the model of user generated by the computer system with respect ...
doi:10.1007/978-90-481-3258-4_1
fatcat:r2izxhj2u5drjlf2peufvvswua
Direct 3D interaction with smart objects
1999
Proceedings of the ACM symposium on Virtual reality software and technology - VRST '99
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We show how such objects are constructed, and exemplify the framework with an application where the user, wearing a data glove, can easily open and close drawers of some furniture. ...
Such objects are called Smart Objects, in the sense that they know how the user can interact with them, giving clues to aid the interaction. ...
The next section details how the user, wearing a data glove, can select a desired available object behaviour. ...
doi:10.1145/323663.323683
dblp:conf/vrst/KallmannT99
fatcat:vzdyr73cebbttidzjgzg4mzgym
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