Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Our e-services for applications, projects and assessments close on Thursday 25 April at 4:30pm because of system upgrades. We expect to open them again on Friday 26 April at 8am the latest.

Robotic assistive device with multi-grip tools and vision system for frail elderly´s independent life

Reference number
Coordinator Karlstads universitet - Institutionen för ingenjörsvetenskap och fysik
Funding from Vinnova SEK 1 843 746
Project duration December 2016 - April 2019
Status Completed

Purpose and goal

Purpose This study aims to create an innovative service model that enables the elderly to eat independently and to improve their quality of life by visualizing nutritional intake status. Goal + The results of how much food that has taken from the plate was loaded upp in the cloud, where the overhead was minimized + Prototypes of multi-grip tools were developed and evaluated to eat food, brush the teeth and pickup objects. + Results of focus group with elderly in Sweden regarding nutritional aid as well as the study of requirements/requests from dieticians and municipalities were analyzed.

Expected results and effects

It was confirmed that the reduction of malnutrition through the knowledge of the elderly themselves and society about how much older people eat it is desirable. The ethically approved focus group with the elderly in Sweden in connection with the nutritional aid device and the requirements and wishes of the unit from the nutritionist and the municipalities gave an understanding of the effect on society or how much will it be.

Planned approach and implementation

The technical development and evaluation with algorithms for vision-system analys, the development of gripper, and system description of IoT systems progress accordingly to plan. The basic functions of the nutritional aid device wer etested and various types of algorithms for the image processing were further developed. The basic functions of vision systems to control Bestic with the spoon and multi-grip tools, such as a human user interface, were preliminary tested, Different types of algorithms for vision-based control developed.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2016-04604

Page statistics