A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Segmentation boundaries in accelerometer data of arm motion induced by music : online computation and perceptual assessment (2022)


Mendoza Garay, J. I. (2022). Segmentation boundaries in accelerometer data of arm motion induced by music : online computation and perceptual assessment. Human Technology, 18(3), 250-266. https://doi.org/10.14254/1795-6889.2022.18-3.4


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatMendoza Garay, Juan Ignacio

Lehti tai sarjaHuman Technology

eISSN1795-6889

Julkaisuvuosi2022

Ilmestymispäivä28.12.2022

Volyymi18

Lehden numero3

Artikkelin sivunumerot250-266

KustantajaCentre of Sociological Research

JulkaisumaaPuola

Julkaisun kielienglanti

DOIhttps://doi.org/10.14254/1795-6889.2022.18-3.4

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusKokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/84786

LisätietojaArticles


Tiivistelmä

Segmentation is a cognitive process involved in the understanding of information perceived through the senses. Likewise, the automatic segmentation of data captured by sensors may be used for the identification of patterns. This study is concerned with the segmentation of dancing motion captured by accelerometry and its possible applications, such as pattern learning and recognition, or gestural control of devices. To that effect, an automatic segmentation system was formulated and tested. Two participants were asked to ‘dance with one arm’ while their motion was measured by an accelerometer. The performances were recorded on video, and manually segmented by six annotators later. The annotations were used to optimize the automatic segmentation system, maximizing a novel similarity score between computed and annotated segmentations. The computed segmentations with highest similarity to each annotation were then manually assessed by the annotators, resulting in Precision between 0.71 and 0.89, and Recall between 0.82 to 1.


YSO-asiasanattanssiliikekiihtyvyysmittausliikeanalyysikognitiiviset prosessithavainnointisegmentointi

Vapaat asiasanatgestural interface; perceptual evaluation; temporal segmentation; accelerometer; bodily motion; similarity


Liittyvät organisaatiot


OKM-raportointiKyllä

Raportointivuosi2022

JUFO-taso1


Viimeisin päivitys 2024-25-03 klo 08:22