Towards automated models of activities of daily life.
We propose automated probabilistic models of everyday activities (AM-EvA) as a novel technical means for the perception, interpretation, and analysis of everyday manipulation tasks and activities of daily life. AM-EvAs are detailed, comprehensive models describing human actions at various levels of...
| Publicado en: | Technology & Disability Vol. 22; no. 1/2; pp. 27 - 41 |
|---|---|
| Autores principales: | , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2010
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105035044&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105035044 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10554181 3QS jtl: Technology & Disability issn: 10554181 maglogo: N pubinfo: dt: 2010 vid: 22 iid: 1/2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 105035044 2010692655 10.3233/TAD-2010-0285 105035044 ppf: 27 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Towards automated models of activities of daily life. aug: au: Beetz M Tenorth M Jain D Bandouch J affil: Intelligent Autonomous Systems Group, Department of Informatics, Technische Universität München Boltzmannstr. 3, 85748 Garching, Germany sug: subj: Activities of Daily Living Evaluation Human Activities Evaluation Motion Analysis Systems Methods Computer Simulation Knowledge Software Systems Design ab: We propose automated probabilistic models of everyday activities (AM-EvA) as a novel technical means for the perception, interpretation, and analysis of everyday manipulation tasks and activities of daily life. AM-EvAs are detailed, comprehensive models describing human actions at various levels of abstraction from raw poses and trajectories to motions, actions and activities. They integrate several kinds of action models in a common, knowledge-based framework to combine observations of human activities with a-priori knowledge about actions. AM-EvAs enable robots and technical systems to analyze actions in the complete situation and activity context. They make the classification and assessment of actions and situations objective and can justify the probabilistic interpretation with respect to the activities the concepts have been learned from. AM-EvAs allow to analyze and compare the way humans perform actions which can help with autonomy assessment and diagnosis. We describe in this paper the concept and implementation of the AM-EvA system and show example results from the observation and analysis of table-setting episodes. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|