Multimodal Indoor Tracking of a Single Elder in an AAL Environment

Ismail, Andrei-Adnan; Florea, Adina Magda

doi:10.1007/978-3-319-00566-9_18

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…-ElderMonitor, a state-of-the-art distributed indoor tracking system for single elders living at home. This system has been prototyped at University Politehnica of Bucharest [11] and uses kleenks as the backbone of its high-level information extracted from raw sensor data.…”

Section: Discussionmentioning

confidence: 99%

“…We will use two scenarios in this article: one is related to discovery of scientific articles by a young researchers, and one is related to tracking a single elder living at home, a scenario prototyped at University Politehnica of Bucharest [11].…”

Section: Working Scenariosmentioning

confidence: 99%

“…We have implemented the concept of Kleenk in a prototype distributed tracking system of an elder, inside a lab of University Politehnica of Bucharest. This system uses a number of 9 Microsoft Kinect [20] and 20 Arduino [17] boards equipped with microphones, light and proximity sensors in order to track an elder living alone at home [11]. This system consumes raw sensor data and turns it into kleenks by using a data structure named the Database of Trajectories.…”

Section: Eldermonitor -Real-time Kleenk Creation In a Private Cloudmentioning

confidence: 99%

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Kleenks: Linked Data with Applications in Research and Ambient Assisted Living

Ismail

Dinu

Florea

et al. 2014

IFIP Advances in Information and Communication Technology

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International audienceIn the spirit of the Linked Data initiative pioneered by Tim Berners-Lee, we propose a new type of link between entities identified by URIs named kleenk. This new type of link bridges the gap between the classical structured data published as RDF and the semi-structured data formats pushed by social networks such as Facebook and Twitter.Unlike previously published work on RDF and its extensions, our proposal promotes links to a first-class citizenship in the world of a semantic web: a kleenk has a content of itself, can be linked to recursively, and both people and machines can harmoniously collaborate in creating, evaluating and extending them.We discuss the theoretical model of the kleenk and how it can be built on top of existing frameworks such as RDF, and identify the main challenges for adoption of the new model.Finally, we validate our model with two real-world implementations: an online platform for spreading research results between researchers and an ambient intelligence elder tracking scenario where kleenks are used to perform sensor fusion between heterogeneous data sources

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Section: Discussionmentioning

confidence: 99%

Section: Working Scenariosmentioning

confidence: 99%

Section: Eldermonitor -Real-time Kleenk Creation In a Private Cloudmentioning

confidence: 99%

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Kleenks: Linked Data with Applications in Research and Ambient Assisted Living

Ismail

Dinu

Florea

et al. 2014

IFIP Advances in Information and Communication Technology

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“…The AmI Lab was developed with the purpose of describing an in-door tracking system, addressed to monitoring a single elder person [6]. In the lab there is a total of 27 equipments, grouped into 9 T-shaped keypoints numbered K1, K2, .…”

Section: Hardware Devicesmentioning

confidence: 99%

Human Activity Recognition Based on Multiple Kinects

Haller

Scarlat

Mocanu

et al. 2013

Communications in Computer and Information Science

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Abstract. Activity recognition is an important component for the ambient assisted living systems which perform home monitoring and assistance for elderly people or patients with risk factors. This paper presents a prototype system for activity recognition using information provided by four Kinects. First the posture of the supervised person is detected using a set of rules created with ID3 algorithm applied to a skeleton obtained by merging the skeletons provided by multiple Kinects. At the same time, the interaction of the user with the objects from the house is determined. After that, daily activities are identified using Hidden Markov Models in which the detected postures and the object interactions are observable states. The benefit of merging the information received from multiple Kinects together with the detection of the interaction between the user and relevant objects from the room is the increase in accuracy for the recognized activities.

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“…The platform is in the course of being deployed in the Ambient Intelligence Laboratory in our faculty [56,57], funded by the ERRIC FP7 European Project [58]. The laboratory contains various sensors, among which, the most interesting to this research are Microsoft Kinect TM RGB-D cameras, capable of tracking a user's skeletal approximation and position relative to the camera.…”

Section: A Perspective On Representing Situation In Aalmentioning

confidence: 99%

Context Graphs as an Efficient and User-Friendly Method of Describing and Recognizing a Situation in AAL

Олару

Florea

2014

Sensors

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In the field of ambient assisted living, the best results are achieved with systems that are less intrusive and more intelligent, that can easily integrate both formal and informal caregivers and that can easily adapt to the changes in the situation of the elderly or disabled person. This paper presents a graph-based representation for context information and a simple and intuitive method for situation recognition. Both the input and the results are easy to visualize, understand and use. Experiments have been performed on several AAL-specific scenarios.

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Multimodal Indoor Tracking of a Single Elder in an AAL Environment

Cited by 10 publications

References 6 publications

Kleenks: Linked Data with Applications in Research and Ambient Assisted Living

Kleenks: Linked Data with Applications in Research and Ambient Assisted Living

Human Activity Recognition Based on Multiple Kinects

Context Graphs as an Efficient and User-Friendly Method of Describing and Recognizing a Situation in AAL

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