ProEmotion: A Tool to Tell Mobile Phone’s Gender

2010 ◽  
Author(s):  
William W. Wang ◽  
Xun W. Xu ◽  
Hsiang-Hung Hsiao
Keyword(s):  
Neural Network ◽  
Mobile Phone ◽  
Product Design ◽  
Kansei Engineering ◽  
Design Attributes ◽  
Product Function ◽  
Length Width

Kansei engineering, also known as kansei ergonomics or emotional engineering, aims at analyzing and incorporating customer’s feeling and demands into product function and product design. The paper described a system called ProEmotion for the purpose of assessing the kansei aspects of a product by considering design attributes of a product. Neural network is used to process kansei words. The system has been successfully implemented to ascertain gender inclination of a mobile phone. Principal parameters of a mobile are considered, i.e. length, width, thickness and mass. The system can inform gender inclination of a mobile phone with accuracy up to 90%. This is based on a set of 92 mobile phone samples from the five major mobile phone manufacturers.

scholarly journals A HYBRID KANSEI ENGINEERING SYSTEM USING THE SELF-ORGANIZING MAP NEURAL NETWORK

2016 ◽  
Vol 2 (1) ◽  
pp. 23-38
Author(s):  
C.S. Teh ◽  
C.P. Lim
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Product Design ◽  
The Self ◽  
Design Parameters ◽  
Decision Making Process ◽  
Engineering System ◽  
Self Organizing Map ◽  
Kansei Engineering ◽  
Self Organizing

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and the relationships with the product design decisions have been introduced in KE systems, many of the approaches are not able to incorporate human subjective feelings and preferences into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abilities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate the effectiveness of the proposed approach in developing an intelligent KE system which is able to combine human feelings and preferences into its decision making process.

scholarly journals Detection of Maize Tassels from UAV RGB Imagery with Faster R-CNN

2020 ◽  
Vol 12 (2) ◽  
pp. 338 ◽  
Author(s):  
Yunling Liu ◽  
Chaojun Cen ◽  
Yingpu Che ◽  
Rui Ke ◽  
Yan Ma ◽  
...  
Keyword(s):  
Neural Network ◽  
Mobile Phone ◽  
Prediction Accuracy ◽  
Critical Role ◽  
Growth And Yield ◽  
Detection Accuracy ◽  
Branch Number ◽  
Aerial Vehicle ◽  
Length Width ◽  
Uav Images

Maize tassels play a critical role in plant growth and yield. Extensive RGB images obtained using unmanned aerial vehicle (UAV) and the prevalence of deep learning provide a chance to improve the accuracy of detecting maize tassels. We used images from UAV, a mobile phone, and the Maize Tassel Counting dataset (MTC) to test the performance of faster region-based convolutional neural network (Faster R-CNN) with residual neural network (ResNet) and a visual geometry group neural network (VGGNet). The results showed that the ResNet, as the feature extraction network, was better than the VGGNet for detecting maize tassels from UAV images with 600 × 600 resolution. The prediction accuracy ranged from 87.94% to 94.99%. However, the prediction accuracy was less than 87.27% from the UAV images with 5280 × 2970 resolution. We modified the anchor size to [852, 1282, 2562] in the region proposal network according to the width and height of pixel distribution to improve detection accuracy up to 89.96%. The accuracy reached up to 95.95% for mobile phone images. Then, we compared our trained model with TasselNet without training their datasets. The average difference of tassel number was 1.4 between the calculations with 40 images for the two methods. In the future, we could further improve the performance of the models by enlarging datasets and calculating other tassel traits such as the length, width, diameter, perimeter, and the branch number of the maize tassels.

Basic Principles and New Methods on Emotional Product Design

2012 ◽  
Vol 452-453 ◽  
pp. 437-440
Author(s):  
Min Huang ◽  
Hong Juan Qiao
Keyword(s):  
Quantitative Analysis ◽  
Product Design ◽  
Theoretical Basis ◽  
Design Methods ◽  
Shape Design ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Basic Principles ◽  
New Methods ◽  
Product Technology

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.

An Optical Fiber Sensing Network Supporting Weak Optical Signal Detection and a Neural Network Method for Information Collection

2021 ◽  
Vol 16 (2) ◽  
pp. 188-195
Author(s):  
Keyuan Liu ◽  
Haibin Li ◽  
Ya Wang
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Signal Detection ◽  
Mobile Phone ◽  
Optical Power ◽  
Information Collection ◽  
Identification System ◽  
Power Meter ◽  
Fiber Sensing ◽  
Optical Fiber Sensing

The weak direct current (DC) signals detected and converted by the photodetector are output to the mobile phone by voltage/frequency switching, and the signals are processed by the mobile phone APP and audio conversion module. The photodetector is equipped with the automatic switching function to design an optical power meter and detect weak signals. Meanwhile, the optical cable identification system is analyzed and combined with the optical power meter to generate an optical fiber sensing network to improve the weak alternating current (AC) signal detection. This network needs data fusion in sensor nodes’ data collection. The cluster routing protocol is introduced and combined with the back propagation neural network (BPNN) to propose a method suitable for this photoelectric transmission and improve the information fusion and accuracy. In the experiment, the optical power meter is output in gears first, and the output waveforms are normal. The photodiode’s optical power is adjusted to obtain different frequencies on the oscilloscope. In the proposed optical fiber sensing network, weak AC signals are amplified significantly, and different optical fiber lines can be distinguished in the optical cables. The proposed information collection method can reduce network communication and node energy consumption.

Application Research of Design Ethics in the Product Design

2012 ◽  
Vol 271-272 ◽  
pp. 787-790
Author(s):  
Rong Biao Yu
Keyword(s):  
Product Design ◽  
Market Research ◽  
Structure Design ◽  
Design Practice ◽  
Application Research ◽  
High Quality ◽  
Design Ethics ◽  
The People ◽  
Product Function ◽  
Computer Aided

Through the analysis of design ethics principle and content, the design concept of humanism, sustainable development and harmonious are applied to the Touch mouse product design practice, and analyzed the its positive significance in market research, product design positioning, concept sketches design, computer aided industrial design and shell structure design, effectively avoid the appear of various product function, complex modelling, large energy consumption and pollution mode, so as to design a fashion practical and green environmental protection Touch type new mouse, and provide a high quality IT products for consumers. Finally, the goal of balance and harmony between the people, resources and environment is realized.

The Taguchi System-Neural Network for Dynamic Sensor Product Design

2013 ◽  
pp. 677-682
Author(s):  
Ching-Lien Huang ◽  
Tian-Long John Wan ◽  
Lung-Cheng Wang ◽  
Chih-Jen Hung
Keyword(s):  
Neural Network ◽  
Product Design
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