A reach motion generation algorithm based on posture memories.
BACKGROUND: Most existing models/algorithms for simulating goal-directed human motions were designed to generate a single "realistic" motion for a given input scenario. OBJECTIVE: This study presents a novel reach motion generation algorithm utilizing multiple posture memories. The algorithm aims to...
| Publicado en: | Work Vol. 65; no. 1; pp. 215 - 224 |
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| Autores principales: | , |
| Formato: | algorithm pictorial tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2020
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| 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=141399271&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141399271 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2020 vid: 65 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 141399271 141399271 141399271 10.3233/WOR-193051 141399271 ppf: 215 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A reach motion generation algorithm based on posture memories. aug: au: Yoo, Taekbeom Park, Woojin affil: Department of Industrial Engineering, Seoul National University, Seoul, South Korea sug: subj: Motion Analysis Systems Computer Simulation Algorithms Posture Memory Time and Motion Studies Work Environment Ergonomics Models, Theoretical Kinematics Random Sample Mathematics Anthropometry ab: BACKGROUND: Most existing models/algorithms for simulating goal-directed human motions were designed to generate a single "realistic" motion for a given input scenario. OBJECTIVE: This study presents a novel reach motion generation algorithm utilizing multiple posture memories. The algorithm aims to compute and visualize a set of human reach motions that approximates the full range of physically and physiologically feasible human motions for a given input scenario. METHODS: The algorithm utilizes posture memories constructed specifically for an individual worker using a probabilistic posture generation and registration process. The posture memories relate a hand position to the set of postures that place the individual's hand in its vicinity. When given an input scenario, the algorithm first generates different hand paths connecting the starting and ending hand positions specified in the scenario. Then, for each hand path, the algorithm produces different "feasible" motions by selecting and connecting multiple postures stored in the posture memories; the postures corresponding to the hand positions along the hand path are utilized. CONCLUSIONS: The proposed algorithm helps understand the impacts of workplace design on the range of feasible human motion behaviors, and, thereby, contributes to the computer-aided ergonomics design of work tasks and workplaces. pubtype: Academic Journal doctype: algorithm pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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