Remote Assistance for Elderly to Find Hidden Objects in a Kitchen

نویسندگان

  • Zeeshan Asghar
  • Niina Keränen
  • Goshiro Yamamoto
  • Takafumi Taketomi
  • Christian Sandor
  • Hirokazu Kato
  • Petri Pulli
چکیده

We present a design and preliminary evaluation of novel visual guidance of a remote assistive system for the elderly to find hidden objects in a kitchen. Our system has two essential functions; 1) to update a list and corresponding location information of objects concealed in a shelf with at all times, and 2) to display images and texts about the objects on the corresponding area of the door of the shelf. We aim to realize assistive visual guidance to elderly for overcoming the deficits of initiation, planning, attention and memory deficits while performing kitchen-based activities of daily living such as finding items for cooking. In this study, we focus on hidden objects because there is an increased possibility for the elderly with cognitive impairments to forget where and what the object is due to the non-visibility. The paper shows the prototype system that uses RFID and projection technology. We conducted a user study with twelve elderly participants to evaluate the usability of the system using the System Usability Scale (SUS). Additionally, we also investigate the acceptability of the system by applying the Unified Theory of Acceptance and Use of Technology (UTAUT). The results demonstrate that the elderly participants found the system useful and easy to use. Finally, we conclude that a remote assistive system can be used to assist elderly to storing and retrieving objects from cabinet and shelves during a kitchen task but need more studies to make the system more efficient and effective.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

3D Modelling of Under Ground Burried Objects Based on Ground Penetration Radar

There is a growing demand for mapping and 3D modelling of buried objects such as pipelines, agricultural hetitage, landmines and other buried objects. Usually, large scale and high resolution maps from these objects are needed. Manually map generation and modeling of these objects are cost and time consuming and is dependent on lots of resources. Therefore, automating the subsurface mapping and...

متن کامل

Kohonen Self Organizing for Automatic Identification of Cartographic Objects

Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...

متن کامل

Ergonomic suitability of kitchen furniture regarding height accessibility.

It is possible to significantly ease kitchen chores with properly sized and appropriately arranged cupboards. In designing kitchen furniture and the optimal depth and the height of storage capacities, accessibility should be taken into consideration. It is known that the optimal storage zone is between 800 and 1100 mm and that there is reduced visibility and accessibility at the level between 1...

متن کامل

Inferring Human Situation using Proximity to Smart Objects

Human proximity tracking and human situation inference are exploited for comprehending human interaction with objects in kitchen. The importance of this study is to offer interactive and personalized kitchen environment for elderly and disabled people. Also, this smart environment allows for independent living for elderly and disabled people. This study proposes human proximity tracking and inf...

متن کامل

Detecting Depression in Elderly People by Using Artificial Neural Network

Introduction: The possibility of depression is common in the elderly. Novel technologies allow us to monitor people related to depression. Hence, a model was provided to detect depression in elderly based on artificial neural network (ANN). Methods: The present study is an applied descriptive-survey research. Forty elderly people were randomly selected from the Elderly Care Center in Gonbad Ka...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016