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Automatic fall risk assessment for challenged users obtained from a rollator equipped with force sensors and a RGB-D camera
dc.contributor.author | Ballesteros, Joaquin |
dc.contributor.author | Peula, José Manuel |
dc.contributor.author | Martínez Velasco, Antonio Benito |
dc.contributor.author | Urdiales García, Cristina |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-05-03T11:04:46Z |
dc.date.issued | 2018 |
dc.identifier.citation | Ballesteros, J. [et al.]. Automatic fall risk assessment for challenged users obtained from a rollator equipped with force sensors and a RGB-D camera. A: IEEE/RSJ International Conference on Intelligent Robots and Systems. "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): Towards a robotic society: October, 1-5, 2018, Madrid, Spain, Madrid Municipal Conference Centre". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 7356-7361. |
dc.identifier.isbn | 978-1-5386-8094-0 |
dc.identifier.uri | http://hdl.handle.net/2117/132600 |
dc.description.abstract | Fall risk assessments provide a useful tool to prevent morbidity and mortality provoked by falls. Nowadays, these assessments are usually performed manually by the medical staff. This approach has three main drawbacks: i) it is time consuming, so it is only performed a few times per volunteer during their rehabilitation process; ii) it requires supervision by medical staff, so assessment at home or preferred environments is not feasible; and iii) fall risk is evaluated in a global way, so imminent fall risk is not available for decision making in assistive navigation. In this paper we propose an imminent fall risk estimator for rollator's users that can be automatically obtained on the fly. Its main advantages are: i) it can be used in everyday conditions in any environment; ii) it does not require assistance of medical staff; and iii) it is suitable for a variety of users with minimal configuration changes. We have validated our estimator with a set of volunteers (n=10) presenting different physical and cognitive disabilities. Although the number of volunteer is limited, results show that our estimator is coherent to two traditional, well accepted assessments: the Tinetti Mobility Test and the walking speed. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject.lcsh | Decision making |
dc.subject.lcsh | Self-help devices for people with disabilities |
dc.subject.lcsh | Medical rehabilitation |
dc.subject.other | Air navigation |
dc.subject.other | Intelligent robots |
dc.subject.other | Assistive navigations |
dc.subject.other | Cognitive disability |
dc.subject.other | Fall risk |
dc.subject.other | Force sensor |
dc.subject.other | On the flies |
dc.subject.other | Rgb-d cameras |
dc.subject.other | Rollator |
dc.subject.other | Walking speed |
dc.subject.other | Risk assessment |
dc.title | Automatic fall risk assessment for challenged users obtained from a rollator equipped with force sensors and a RGB-D camera |
dc.type | Conference report |
dc.subject.lemac | Decisió, Presa de |
dc.subject.lemac | Ajuts tecnològics per als discapacitats |
dc.subject.lemac | Rehabilitació |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.identifier.doi | 10.1109/IROS.2018.8594122 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8594122/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 24026534 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Ballesteros, J.; Peula, J.; Martínez, A.; Urdiales, C. |
local.citation.contributor | IEEE/RSJ International Conference on Intelligent Robots and Systems |
local.citation.publicationName | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): Towards a robotic society: October, 1-5, 2018, Madrid, Spain, Madrid Municipal Conference Centre |
local.citation.startingPage | 7356 |
local.citation.endingPage | 7361 |