AIMC Topic: Interior Design and Furnishings

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Exploring Convolutional Neural Network Architectures for EEG Feature Extraction.

Sensors (Basel, Switzerland)
The main purpose of this paper is to provide information on how to create a convolutional neural network (CNN) for extracting features from EEG signals. Our task was to understand the primary aspects of creating and fine-tuning CNNs for various appli...

A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection.

Sensors (Basel, Switzerland)
Monitoring the activities of elderly people living alone is of great importance since it allows for the detection of when hazardous events such as falling occur. In this context, the use of 2D light detection and ranging (LIDAR) has been explored, am...

Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example.

Computational intelligence and neuroscience
With the development of the Internet era and the information age, electronic information technology has profoundly affected human life and work, and the architectural design industry is no exception. Architectural design has a complex design period, ...

Combining Grey Relationship Analysis and Neural Network to Develop Attractive Automobile Booth Design.

Computational intelligence and neuroscience
Miryoku engineering is a design concept based on customer preferences, with the goal of creating attractive products or spaces. However, traditional Miryoku engineering faces two main issues: (1) the upper Kansei factor ranks the weights by the numbe...

Table Cleaning Task by Human Support Robot Using Deep Learning Technique.

Sensors (Basel, Switzerland)
This work presents a table cleaning and inspection method using a Human Support Robot (HSR) which can operate in a typical food court setting. The HSR is able to perform a cleanliness inspection and also clean the food litter on the table by implemen...

Controlling robots in the home: Factors that affect the performance of novice robot operators.

Applied ergonomics
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...

The Design, Prototyping, and Formative Evaluation of an Assistive Robotic Table (ART) for Stroke Patients.

HERD
OBJECTIVE: This article presents the results of an exploratory study in which 14 healthcare subject matter experts (H-SMEs) in addition to four research and design subject matter experts (RD-SMEs) at a regional rehabilitation hospital engaged in a se...

Understanding safety-critical interactions with a home medical device through Distributed Cognition.

Journal of biomedical informatics
As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical devices, to inform the safe and patient-friendly design of these devices. Distributed Cognition (DCog) has...

Towards a future robotic home environment: a survey.

Gerontology
PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time the number of active working people is falling. In the future, there will be less caretaking, which is necessary to support the aging population. In ord...

T-able: An Investigation of Habituating Moving Tables at Home.

Studies in health technology and informatics
This paper investigates the philosophical and designerly questions of how the concepts of familiarity, orientation, and habituation can be used to understand a self-moving (semi-autonomous robot) table at home. Tables are familiar habituated objects ...