Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (2): 591-601.doi: 10.23940/ijpe.19.02.p23.591601
Previous Articles Next Articles
Yi Song(
)
Revised on
;
Accepted on
Contact:
Song Yi
E-mail:lovesongyi@126.com
About author:Yi Song is a teacher specializing in jewelry design at the Beijing Institute of Fashion Technology who set up smart jewelry design for two consecutive years in the course “Jewelry Digital Design” and led students to jointly complete the innovative design of smart jewelry. The awards and exhibitions that the teacher has won and participated in include: the Silver Prize of Gold Design Competition of China's Gold Capital Cup in 2004, second award of National Jewelry Design Competition of CCTV Fashion China in 2005, Excellent Design Award of HRD International Diamond Jewelry Design Competition in 2005, and Excellent Design Award of HRD International Diamond Jewelry Design Competition in 2007. In 2008, the book “To Be Beautiful with Jewelry” was published by China Light Industry Press, and the design works were exhibited in the 2013 International Jewelry Art Biennial, 2016 Shanghai International Jewelry Fair, 2016 T&D Lifestyle Design and International Science, and Technology Forum “Technology and Arts” Exhibition. A personal work exhibition “Daily Beauty” was displayed at the China Fashion Week DHUB Exhibition in China and 2017 Shanghai Fashion Week MODE Exhibition.
Yi Song. Innovation of Smart Jewelry for the Future [J]. Int J Performability Eng, 2019, 15(2): 591-601.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Classification of smart jewelry functions [6]"
| Product characteristics | Product functions | Product form | |
|---|---|---|---|
| Health oriented | Highlighting fitness tracking, step speed measurement, heart rate monitoring, sedentary reminder, health management and other sports, physiology and medical support functions; | Timing, step counting, heart rate detection, reminder, display, wireless data transmission and reception, and analysis; | Smart ring, smart bangle, smart watch, smart bracelet and headwear; |
| Navigation oriented | Real time displaying navigation infomation in data format and performing specific function operations through virtual reality technology such as digital lens or holographic projection; | Navigation positioning, shopping guide inquiry, web browsing, messaging, purchase & payment; | Smart watch, smart bracelet, and smart glasses; |
| Environment oriented | Monitoring, analyzing and trip reminder of surrounding environments (such as temperature, humidity, UV, air and weather); | Positioning, display, monitoring, wireless data transmission and reception, analysis and reminder; | Smart ring, smart bracelet, smart bangle and smart pendant; |
| Action oriented | Daily activity monitoring, motion recognition and gesture control, information reminder, emergency alert, entertainment activities and social interactions; | Positioning, music, reminder, display, analysis, wireless data transmission and reception, and social interaction; | Smart ring, smart bracelet, smart watch, and smart bangle; |
Figure 1
Product innovation pyramid [8] "
Figure 2
Relations and differences between innovation and creativity"
Figure 3
Consumption motive of jewelry"
Figure 4
Consumption characteristics of jewelry"
Figure 5
User demand analysis elements of smart wearable products [13] "
Figure 6
Brainwave induction product of Necomimi"
Figure 7
SHIPPO-Brain controlled tail"
Figure 8
MomentoPearl and APP interface"
Figure 9
Usage scenarios of Momento Pearl products"
Figure 10
Tago Arc electronic bracelet"
Figure 11
Neclumi miniature image lighting jewelry"
| [1] | D. Y. Chen , “From Mobile to Wearable: On Concept, Technology and Application of Wearable,”Journal of Chongqing University of Technology (Natural Science), Vol.29, No. 8, pp. 1-5, August 2015 |
| [2] | E. Salmela and I. Vimm, “Digital Smart Jewelry: Next Revolution of Jewelry Industry,” ( , 2018 http://dx.doi.org/10.5772/intechopen.71705 |
| [3] | A. McIntyre and B. Blau, “Forecast: Wearable Electronic Devices, Worldwide, 2016 ”, Gartner ( , 2016) https://www.gartner.com/doc/3187421?ref=SiteSearch&sthkw=wearable&fnl=search&srcId=1-3478922254 |
| [4] | Ringly website , “2018 Update: A New Chapter, ” ( , 2018) https://ringly.com/blogs/news/why-is-everything-sold-out-on-ringly-com |
| [5] | TMT post , “The Development of Smart Jewelry Encounters the Upper Limits and Jeweled Wearable Device Becomes the Compromise, ” ( , 2017 http://money.163.com/17/0220/16/CDNUKOKE002580S6.html |
| [6] | M. He and L. Hao, “Outline of Digital Jewelry Design and Research Direction,”Journal of Gems and Gemmology, Vol.19, No. 1, pp. 54-62, January 2017 |
| [7] | LKK Academy of creative design, Product Design Thinking, Beijing, pp. 60, 2017 |
| [8] | LKK Academy of creative design, Product Design Thinking, Beijing, pp. 64-65, 2017 |
| [9] | Z. J . Fu and Z. T. Sun, “Basic Theoretical Research of Product Innovation,”Development & Innovation of Machinery & Electrical Products, pp. 25-26, 2010 |
| [10] | S. Hall , “This Means This, This Means That Second Edition,” pp. 14-15, 2015 |
| [11] | LKK Academy of creative design, Product Design Thinkingx, Beijing, pp. 33-50, 2017 |
| [12] | Datapark Observation , “Female Consumption Trends of Smart Wearable Products in 2015,”( “Female Consumption Trends of Smart Wearable Products in 2015,”( , 2015 http://www.datapark.cn |
| [13] | Datapark Observation , “Design Trend of Female Smart Wearable Jewelry Products,”( , 2017 http://www.datapark.cn |
| [14] | F. Johansson , “The Medici Effect-Breakthrough Insights at the Intersection of Ideas,” Concepts & Cultures, pp. 10-15, 2006 |
| [15] | Neurowear website, “About necomimi, ” ( , 2018) https://neurowear.com/ |
| [16] | S. Wu , “Contextual Revolution-Reconstructing Connection between Human and Commerce,” pp. 28-29, 2015 |
| [17] | Blurred Boundary and Open Innovation ,( , 2015) https://wenku.baidu.com/view/2f6914e5a98271fe910ef9f4.html |
| [18] | L. Zhao , “Smart Wearable Equipment Market and New Technology Development Trend Research,”China New Technique New Product, pp. 25-27, 2016 |
| [19] | Y. Zhong , “Development Status and Prospect Forecast of Wearable Smart Equipment,”Electronic Technique & Software Engineering, No. 1, pp. 35-38, 2017 |
| [20] | Sohu Science and Technology, “The Future Development Trend of Smart Jewelry,”( , 2017 http://www.sohu.com/a/166680748_397500 |
| [21] | O. Yi , “The Smart Wearable Products Looked Down Upon, Contextualization and Data Service Should be The Future,”( , 2018) https://www.iyiou.com/p/51574 |
| [22] | Y. Geng and H.“An, Wearable Equipment Development Status and Prospect Explorative Analysis,”Electronic Science& Technology, Vol.1, No. 2, pp. 238-245,2014 |
| [23] | Y. Q. Li , “Analyze the Differences of Design Innovation and Arts Creative,”Design, No. 4, pp. 52-53, 2015 |
| [1] | Vibha Mani and Shruti Jaiswal. Comparative Analysis of Hash Functions in Blockchain for Implementation of Blockchain on a Resource-Constrained System [J]. Int J Performability Eng, 2025, 21(2): 84-93. |
| [2] | Updesh Kumar Jaiswal and Amarjeet Prajapati. An Effective PSO-Driven Method for Test Data Generation in Branch Coverage Software Testing [J]. Int J Performability Eng, 2025, 21(1): 1-9. |
| [3] | Poorana Senthilkumar S, Wilfred Blessing N. R., Subramani B, and Rajesh Kanna R. Additively Composite Model Objective Function for Routing Protocol for Low-Power and Lossy Network Protocol [J]. Int J Performability Eng, 2024, 20(5): 300-311. |
| [4] | M. J. Delsey and J. V. Bibal Benifa. UWGAN-EnhaNet: Conditional Generative Adversarial Network Inspired Network for Enhancing the Quality of Underwater Images [J]. Int J Performability Eng, 2023, 19(8): 499-506. |
| [5] | Rakesh Kumar, Sunny Arora, Ashima Arya, Neha Kohli, Vaishali Arya, and Ekta Singh. Ensemble Learning for Appraising English Text Readability using Gompertz Function [J]. Int J Performability Eng, 2023, 19(6): 388-396. |
| [6] | Ashima Arya and Sanjay Kumar Malik. An Improved Firefly-Based Feature Selection Method for Software Fault Identification and Classification [J]. Int J Performability Eng, 2023, 19(11): 744-752. |
| [7] | Ankit R. Mune and Sohel A. Bhura. TUMKFCM-ELM: An Unsupervised Multiple Kernelized Fuzzy C-Means Extreme Learning Machine Approach for Heterogeneous Datasets [J]. Int J Performability Eng, 2022, 18(3): 188-200. |
| [8] | Risu Na, Weiguo Zhang, Kaifa Jia, and Quan Zhang. Key Factors of Seal Ring Reliability based on QFD [J]. Int J Performability Eng, 2022, 18(11): 759-769. |
| [9] | D.P. Tripathi, Mahesh Nayak, Rajaboina Manoj, Surarapu Sudheer, and K. Praghash. Fast Computational Efficient Directional Shrinking Search Optimization Algorithm [J]. Int J Performability Eng, 2021, 17(6): 543-551. |
| [10] | Anil Kumar Gulivindala, M.V.A. Raju Bahubalendruni, S.S.V. Prasad Varupala, and Chandrasekar Ravi. Exponential Moving Average Modelled Particle Swarm Optimization Algorithm for Efficient Disassembly Sequence Planning towards Practical Feasibility [J]. Int J Performability Eng, 2021, 17(3): 289-298. |
| [11] | Minghua Wei. Pedestrian Re-Identification Incorporating Multi-Information Flow Deep Learning Model [J]. Int J Performability Eng, 2020, 16(7): 1027-1037. |
| [12] | A. Satyanarayana, T. Sumathi Uma Maheshwari, and M. Tirumala Devi. Reliability Analysis over I-Section of Beam due to Uniform Distribution of Load [J]. Int J Performability Eng, 2020, 16(3): 333-341. |
| [13] | Jing Zhu, Song Huang, Yaqing Shi, Mingyu Chen, Jialuo Liu, and Erhu Liu. Survey on Methods for Automated Measurement of the Software Scale [J]. Int J Performability Eng, 2020, 16(2): 255-264. |
| [14] | Ying Hu. A Node Evaluation Method based on Multiple Types of Node Status Characteristics in Virtual Network Function Placement [J]. Int J Performability Eng, 2020, 16(10): 1535-1547. |
| [15] | Shuai Yang, Shilong Li, Yu Wang, and Jean-Carlo Macancela. Reliability Analysis for CNC Gear Hobbing Machine with a New Hybrid Model of Dual Weibull Distribution [J]. Int J Performability Eng, 2020, 16(1): 98-106. |
|
||
