OntoELAN. An Ontology-Based Linguistic Multimedia Annotator

The social behavior of chimpanzees has been extensively studied, yet not much is known about how they behave in response to the death of a group member. Here, we provide a detailed report of the reactions of a group of chimpanzees to finding the dead body of a 9-year-old male group member. The behavior of the group was characterized by quiet attendance and close inspections punctuated by rare displays. Moreover, the body was continuously attended and closely inspected by several adults and juveniles, including an adult male who formed a close social bond with the deceased individual after the deceased individual's mother died 4 years earlier. When considered with observations of how chimpanzees respond to dead infants and adults in this group and in others, these observations suggest that chimpanzees' responses to death may be mediated by social bonds with the deceased individual. The results are discussed in light of recent reports on chimpanzees' reactions to dead community members and more general primate thanatology. Am. J. Primatol. 78:914-922, 2016.

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“…Videos were synchronized for simultaneous dual views using ELAN 3.9 [Chebotko et al, ]. Behavior was coded using the ethogram in Table .…”

Section: Methodsmentioning

confidence: 99%

Chimpanzees' responses to the dead body of a 9‐year‐old group member

Leeuwen

Mulenga²,

Bodamer³

et al. 2016

American J Primatol

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“…This data was then annotated. Initially, the ANVIL tool was used for this purpose [ 43 ]. However, the team subsequently adopted the ELAN annotation tool, developed by MPI Nijmegen [ 44 ] for the purpose of creating complex annotations on video/audio resources [ 45 ].…”

Section: The Role Of Case Studies In Validation and Revision Of Thmentioning

confidence: 99%

“…However, the team subsequently adopted the ELAN annotation tool, developed by MPI Nijmegen [ 44 ] for the purpose of creating complex annotations on video/audio resources [ 45 ]. ELAN, initially designed to permit annotation with arbitrary vocabulary, has been extended for ontology-based annotation [ 43 ]; this functionality can also be effectively simulated by mandating the use of a controlled vocabulary for a given ‘tier’ (annotation layer).…”

Section: The Role Of Case Studies In Validation and Revision Of Thmentioning

confidence: 99%

Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation

Woznowski

Tonkin

Flach

2018

Sensors

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Ubiquitous eHealth systems based on sensor technologies are seen as key enablers in the effort to reduce the financial impact of an ageing society. At the heart of such systems sit activity recognition algorithms, which need sensor data to reason over, and a ground truth of adequate quality used for training and validation purposes. The large set up costs of such research projects and their complexity limit rapid developments in this area. Therefore, information sharing and reuse, especially in the context of collected datasets, is key in overcoming these barriers. One approach which facilitates this process by reducing ambiguity is the use of ontologies. This article presents a hierarchical ontology for activities of daily living (ADL), together with two use cases of ground truth acquisition in which this ontology has been successfully utilised. Requirements placed on the ontology by ongoing work are discussed.

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“…This data was then annotated. Initially, the ANVIL tool was used for this purpose [6]. However, the team subsequently adopted the ELAN annotation tool, developed by MPI Nijmegen [7] for the purpose of creating complex annotations on video/audio resources 4 .…”

Section: A Post-hoc (Retrospective) Observer Annotation Of Scripted Experimentsmentioning

confidence: 99%

Activities of Daily Living Ontology for Ubiquitous Systems

Tonkin

Woznowski

2018

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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Ubiquitous eHealth systems based on sensor technologies are seen as key enablers in the effort to reduce the financial impact of an ageing society. At the heart of such systems sit activity recognition algorithms, which need sensor data to reason over and a 'ground truth' of adequate quality -used for training and validation purposes. The large set up costs of such research projects and their complexity limit rapid developments in this area. Therefore, information sharing and reuse, especially in the context of collected datasets, is key in overcoming these barriers. One approach which facilitates this process by reducing ambiguity is the use of ontologies. This paper presents a hierarchical ontology for activities of daily living (ADL), together with two use cases of 'ground truth' acquisition in which this ontology has been successfully utilised. Furthermore, these studies are reflected upon from the machine learning perspective, and the use of this ontology in clinical studies is discussed.

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OntoELAN. An Ontology-Based Linguistic Multimedia Annotator

Cited by 12 publications

References 1 publication

Chimpanzees' responses to the dead body of a 9‐year‐old group member

Chimpanzees' responses to the dead body of a 9‐year‐old group member

Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation

Activities of Daily Living Ontology for Ubiquitous Systems

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