Cristin-prosjekt-ID: 572119
Sist endret: 7. januar 2018, 21:35

Cristin-prosjekt-ID: 572119
Sist endret: 7. januar 2018, 21:35
Prosjekt

Multimodal Elderly Care Systems (MECS)

prosjektleder

Jim Tørresen
ved Forskningsgruppe for robotikk og intelligente systemer ved Universitetet i Oslo

prosjekteier / koordinerende forskningsansvarlig enhet

  • Institutt for informatikk ved Universitetet i Oslo

Finansiering

  • TotalbudsjettNOK 12.000.000
  • Norges forskningsråd
    Prosjektkode: 247697

Klassifisering

Emneord

Omsorgsteknologi • Brukermedvirkning i design • Velferdsteknologi • 3D sensorer • Kunstig intelligens • Robotikk

Kategorier

Prosjektkategori

  • Anvendt forskning

Tidsramme

Avsluttet
Start: 12. desember 2015 Slutt: 13. desember 2019

Beskrivelse Beskrivelse

Tittel

Multimodal Elderly Care Systems (MECS)

Populærvitenskapelig sammendrag

The ratio of elderly in the world´s population is increasing. Thus, the number of elderly people living at home and potentially alone is increasing, and this trend is expected to continue. The challenge then would be how to provide technology that can handle the complex and different environments found in homes. Further, technology can easily be seen as a threat to privacy and lack of interpersonal contact. This project addresses these issues through user-centered design of robot systems and the development of adaptive technology. A part of this will be to demonstrate the benefits regarding both performance and privacy being improved by applying sensors like 

cameras on a robot companion rather than having them permanently mounted in a home. These would be used for detecting falls and other non-normal situations. Using new sensor technology, we target to explore if it is possible to remotely monitor medical states like pulse and breathing. Rather than requiring elderly activating their personal security alarm themselves in an emergency situation, a goal of this project is to demonstrate automatic activation. Many systems for elderly have been designed but few have been adopted on a large scale. We think a key reason for this is limited user involvement and few iterations of user testing. Therefore, we will focus specifically on developing our systems with a large degree of user participation.

Work so far in the project has included collaboration with residents and management at Kampen Omsorg+ in the form of workshops, interviews and testing out robot technology. A study has been investigating the encounters between residents and a robot-prototype. There is also an ongoing investigation, with off the shelf vacuum cleaning robots, were elderly have one at home and report about how they experience having it there. In parallel, we have been undertaking technology research about recognition of human activity and events using different sensors like depth camera, thermal and ultrasonic sensors. Facial expression recognition using depth camera images has also been studied. Regarding robot control, we have worked on motion planning for mobile robots where the focus is on providing efficient navigation strategies to handle the high complexity of a home environment, which partly is due to the expected dynamic and unpredictable behavior of humans.

prosjektdeltakere

prosjektleder

Jim Tørresen

  • Tilknyttet:
    Prosjektleder
    ved Forskningsgruppe for robotikk og intelligente systemer ved Universitetet i Oslo

Weria Khaksar

  • Tilknyttet:
    Prosjektdeltaker
    ved Forskningsgruppe for robotikk og intelligente systemer ved Universitetet i Oslo

Trenton Schulz

  • Tilknyttet:
    Prosjektdeltaker
    ved Forskningsgruppen for design av informasjonssystemer ved Universitetet i Oslo

Md Zia Uddin

  • Tilknyttet:
    Prosjektdeltaker
    ved Forskningsgruppe for robotikk og intelligente systemer ved Universitetet i Oslo

Diana Saplacan

  • Tilknyttet:
    Prosjektdeltaker
    ved Forskningsgruppen for design av informasjonssystemer ved Universitetet i Oslo
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Resultater Resultater

Presentation: Walking Away from the Robot: Negotiating Privacy with a Robot.

Schulz, Trenton Wade. 2017, British HCI. UIOVitenskapelig foredrag

Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system.

Khaksar, Weria; Hong, Tang Sai; Sahari, Khairul Salleh Mohamed; Khaksar, Mansoor; Tørresen, Jim. 2017, Neural computing & applications (Print). UPM, UNITEN, UIO, IAUVitenskapelig artikkel

Smartphone Accelerometer Data used for Detecting Human Emotions.

Olsen, Andreas Færøvig; Tørresen, Jim. 2016, IEEE conference proceedings. UIOVitenskapelig Kapittel/Artikkel/Konferanseartikkel
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