Filters








95,587 Hits in 6.7 sec

A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour

Kostas Konsolakis, Hermie Hermens, Oresti Banos
2019 Proceedings (MDPI)  
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

Christopher Peters, Stylianos Asteriadis, Genaro Rebolledo-Mendez
2009 2009 10th Workshop on Image Analysis for Multimedia Interactive Services  
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]

Neal Lathia
2013 Handbook of Human Computation  
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

Zaheer Khan, Mohammed Odeh, Richard McClatchey
2011 International Journal of Grid and Utility Computing  
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

Gorka Azkune, Aitor Almeida, Diego López-de-Ipiña, Liming Chen
2015 Sensors  
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

Mandy Lau
2021 Working papers in Applied Linguistics and Linguistics at York  
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

Ahmad Hoirul Basori, Hani Moaiteq Abdullah AlJahdali
2018 Journal of Information Systems Engineering and Business Intelligence  
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

Dario Baretta, Fabio Sartori, Andrea Greco, Riccardo Melen, Fabio Stella, Letizia Bollini, Marco D'addario, Patrizia Steca
2016 Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI '16  
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

María Dolores R-Moreno, Daniel Borrajo, Amedeo Cesta, Angelo Oddi
2007 Expert systems with applications  
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

Musa Martha Ozohu, Prof. Ugwu Chidiebere, Prof. Onyejegbu Laeticia Nneka
2021 Zenodo  
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

Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2014 Knowledge-Based Systems  
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

A. Catalá, P. Ponsa
2000 Inteligencia Artificial  
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]

Akriti Verma, Valeh Moghaddam, Adnan Anwar
2021 arXiv   pre-print
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]

Stephen H. Fairclough
2010 Sensing Emotions  
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

Marcelo Kallmann, Daniel Thalmann
1999 Proceedings of the ACM symposium on Virtual reality software and technology - VRST '99  
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
« Previous Showing results 1 — 15 out of 95,587 results