Goal oriented recognition of composed activities for reliable and adaptable intelligence systems

Hoelzl, Gerold; Kurz, Marc; Ferscha, Alois

doi:10.1007/s12652-013-0198-3

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…Applications of the system can be listed as "vital and sensory function test, emergency, stress management, brain activity management, nutrition, and physical exercises" and "indoor air quality monitoring and alert on respiratory distress", which can be realized via wrist-worn devices or sensors embedded into wheelchairs or walkers. In [75], the use of opportunistic sensing for recognizing contexts and highlevel composed activities using Hidden Markov Models (HMM) or evidential networks has been surveyed. In [76], the applications of intelligent sensing to healthcare monitoring has been investigated under the settings of the concept of Internet of Intelligent Things (IoIT), where intelligence is added to "things".…”

Section: Participatory and Opportunistic Sensingmentioning

confidence: 99%

Medical robots with potential applications in participatory and opportunistic remote sensing: A review

Daneshmand

Bilici

Bolotnikova

et al. 2017

Robotics and Autonomous Systems

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Among numerous applications of medical robotics, this paper concentrates on the design, optimal use and maintenance of the related technologies in the context of healthcare, rehabilitation and assistive robotics, and provides a comprehensive review of the latest advancements in the foregoing field of science and technology, while extensively dealing with the possible applications of participatory and opportunistic mobile sensing in the aforementioned domains. The main motivation for the latter choice is the variety of such applications in the settings having partial contributions to functionalities such as artery, radiosurgery, neurosurgery and vascular intervention. From a broad perspective, the aforementioned applications can be realized via various strategies and devices benefiting from detachable drives, intelligent robots, human-centric sensing and computing, miniature and micro-robots. Throughout the paper tens of subjects, including sensor-fusion, kinematic, dynamic and 3D tissue models are discussed based on the existing literature on the state-of-the-art technologies. In addition, from a managerial perspective, topics such as safety monitoring, security, privacy and evolutionary optimization of the operational efficiency are reviewed.

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Section: Participatory and Opportunistic Sensingmentioning

confidence: 99%

Medical robots with potential applications in participatory and opportunistic remote sensing: A review

Daneshmand

Bilici

Bolotnikova

et al. 2017

Robotics and Autonomous Systems

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“…Systems will become, or are already, too massive and too complex for even the most skilled system integrators to install, configure, optimize, maintain, and merge. Future systems have to manage themselves according to stated goals of users [8]. The common objective is that a goal specifies at an abstract level what the system should achieve but not how.…”

Section: Smart and Goal Oriented Behaviourmentioning

confidence: 99%

“…We have to implement methodologies that break users' goals down into the selection of the appropriate Smart Watches or more generally their offered services. This process offers great flexibility during runtime but consumes processing time during the setup of the system due to the necessity of goal translation, selection of needed Smart Watches, establishing of connections and finally setting up needed reasoning techniques to fuse [7,8] the data.…”

Section: Adaptive Nerve Systemmentioning

confidence: 99%

Goal oriented smart watches for cyber physical superorganisms

Hoelzl

Ferscha

Halbmayer

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

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We didn't start the fire, it was always burning since technology became integrated into wearable things that can be traced back to the early 1500s. This earliest forms of wearable technology were manifested as pocket watches. Of course technology changed and evolved, but again it might be the watch, now in form of a wrist worn smart watch, that could carve the way towards an always on, large scale, planet spanning, body sensor network. The challenge arises on how to handle this enormous scale of upcoming smart watches and the produced data. This work highlights a strategy on how to make use of the massive amount of smart watches in building goal oriented, dynamically evolving network structures that autonomously adapt to changes in the smart watch ecosystem like cells do in the human organism.

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“…In the last years, researchers prototyped sensing systems able to acquire detailed situational information from data streams [7,6,3] using both specification-driven (e.g., logic ontologies, logic programming, fuzzy logic) or data-driven approaches (e.g., support vector machine, decision trees, neural networks). The most prominent works have been surveyed in [11] and [5].…”

Section: Related Workmentioning

confidence: 99%

Human aware superorganisms

Bicocchi

Fontana

Zambonelli

2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

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Massive networks of wearable devices have recently become a key scenario for pattern recognition technologies. Applications range from implicit human-machine interactions, to autonomous monitoring of user habits and activities. This paper presents a framework providing developers with tools to orchestrate the continuous process of collecting and classifying data streams in aware-systems. It supports service oriented, reconfigurable components and provides a solid background to put at joint work specification-and data-driven approaches. It also provides an innovative meta-classification scheme allowing to implement applications by editing a simple state automata. Experimental results suggest that the approach could be integrated in a number of applications for: (i) improving energy efficiency, (ii) improving classification accuracy and (iii) improving software engineering of aware systems.

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Goal oriented recognition of composed activities for reliable and adaptable intelligence systems

Cited by 7 publications

References 13 publications

Medical robots with potential applications in participatory and opportunistic remote sensing: A review

Medical robots with potential applications in participatory and opportunistic remote sensing: A review

Goal oriented smart watches for cyber physical superorganisms

Human aware superorganisms

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