Increasing kinect application development productivity by an enhanced hardware abstraction

Reis, Bernardo; Teixeira, João Marcelo X. N.; Breyer, Felipe; Vasconcelos, Luis A.; Cavalcanti, Ana; Ferreira, André; Kelner, Judith

doi:10.1145/2305484.2305489

Cited by 3 publications

(1 citation statement)

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“…In literature many tools aim to support developers, e.g., KINA toolkit [15] and DejaVu [16]. Conversely, the goal of the proposed system is to allow users, who are typically practitioners and not necessarily developers, to build a set of representative postures for a given domain by composing visually a high-level description.…”

Section: Algorithm: Abduce ( L D S T )mentioning

confidence: 99%

Body Posture Recognition as a Discovery Problem: A Semantic-Based Framework

Ruta

Scioscia

Summa

et al. 2014

Active Media Technology

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Abstract. The automatic detection of human activities requires large computational resources to increase recognition performances and sophisticated capturing devices to produce accurate results. Anyway, often innovative analysis methods applied to data extracted by off-the-shelf detection peripherals can return acceptable outcomes. In this paper a framework is proposed for automated posture recognition, exploiting depth data provided by a commercial tracking device. The detection problem is handled as a semantic-based resource discovery. A simple yet general data model and a corresponding ontology create the needed terminological substratum for an automatic posture annotation via standard Semantic Web languages. Hence, a logic-based matchmaking allows to compare retrieved annotations with standard posture descriptions stored as individuals in a proper Knowledge Base. Finally, non-standard inferences and a similarity-based ranking support the discovery of the best matching posture. This framework has been implemented in a prototypical tool and preliminary experimental tests have been carried out w.r.t. a reference dataset.

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Section: Algorithm: Abduce ( L D S T )mentioning

confidence: 99%