Research Project

Smart Textiles

Research Team

Lead Researchers:

  • Wei Cao, Family and Consumer Sciences

  • Xunfei Jiang, Computer Science 

  • Nhut Ho, Mechanical Engineering

  • Yi Cai, Family and Consumer Sciences

Collaborators:

  • CSUN Athletics Department, Mr. Jim Gorman (CSUN Athletic Advocate)

Student Team:

  • Kian Bonakdar* (Fellow), M.S. in Software Engineering

  • Yijing An*, M.S. in Family and Consumer Science

  • Gerard Euan Gandionco*, B.S. Computer Science

  • Matthew Garcia*, B.S. in Computer Science

  • Carlos Figueroa*, B.S. in Computer Science

  • Harshit Penta*, M.S. in Software Engineering

  • Chenshu Liu*, M.S. in Bioengineering (UCLA)

  • Tong Zhou*, B.S. Electrical Computer Engineering (UVA)

  • Harshit Penta*, M.S. Software Engineering 

  • Shabnam Jabbari*, MS Computer Science

  • Makena Bambrick*, MS Software Engineering

  • Akul Kumar (Fellow), M.S. in Software Engineering

  • Carl Austin Dimalanta (Fellow), M.S. in Software Engineering

  • Thomas Dinh, Taylor Nastally, Francisco Revoreda (Computer Science Senior Design 2023-2024 Team)

  • Emi Anyakpor, B.S. in Computer Science

  • Jeel Patel, M.S. in Software Engineering

  • Guruvishnu Bojanapureddy, M.S. in Computer Science

  • Martin Ha, B.S. in Computer Science

  • Charne-lee Olkers, Student Athlete

  • Georgina Argueta, Helena Hill (B.S. in Public Health)

  • Xinyi Wang*, B.A. in Arts

Note: names marked with an asterisk (*) indicate current students

Funding

  • Funding Organization: CSUN College of Health and Human Development
  • Funding Program: Other

SYNOPSIS

  • Smart Textiles are blind to consumers without sufficient knowledge in wearable technology. They may not understand and analyze the real-time vital signs.
  • Consumers/athletes face challenges in:
    • Selecting, accessing, and sharing data from the products
    • Understanding the collected data from devices
    • Lack of knowledge in using real-time biometric data

Abstract

Smart textile products integrate the design research (environment and communication), physiology (human), and textile technology (E-textiles) all together. Most consumers would enjoy the advanced technology without compromising the mobility, comfort and fashion attributes much. Textile technological devices should not lose efficiency during the wear and care. However, smart textiles are blind to many consumers with no sufficient knowledge in wearable technology to understand and analyze the real-time vital signs. Limited study documented how these products meet consumers’ textile/clothing needs and keep their functions while overcoming wash and care issues. Therefore, the main goal of this research is to figure out: 1) the user-oriented/centered technology that reflects CSUN student-athletes’ latent smart textile needs through the wear test in smart textiles and users’ feedback in this wearable technology, 2) development of an application that communicates with smart textiles using the collected authorized data shared by users, then processes and stores the data securely, 3) deployment/application of a large-scale consumer research instrument based on the multi-method measurement of student-athletes’ wearing experience and user feedback. The study also targets gaining attention from apparel technologists, researchers, sponsors, government and professional organizations in order to improve the performance of smart textiles, from consumers and apps developers to expand the digital health applications.

Motivation/Research Problem

Smart textiles are textiles with added/improved function through the incorporated technology, such as built-in electronics and integrating microchips. With the aid of wearable devices and body sensor technology, textiles can sense stimuli (e.g., mechanical, thermal or chemical) from the body and outside environment. Some textiles only receive and store signals from stimuli; others will collect and process the information, then respond to the external impact. There are many innovative smart textiles available in the market. For example, HEXOSKIN smart garment is claimed to be comfortable and easy to use. The uses are limitless in Cardiology, Respiratory, Neurology, Pediatrics, Mental Disorders, Rare Diseases etc. Smart socks in Sensoria Artificial Intelligence Sportswear are announced to improve speed, pace, cadence and foot landing as compared to the shoes. However, these innovative wearable technologies and attractive advertisements are totally blind to most consumers who do not have sufficient knowledge in the various wearable technology involved or enough education in understanding and analyzing the real-time vital signs. Consequently, the consumers/athletes face many challenges in selecting, wearing and maintaining the products, in using the collected data to prevent any injuries/accidents in the training and competition, and in maintaining a healthy lifestyle.

Additionally, although the function of these smart textiles has evolved lately and continuously, limited research has been done to document consumers’ user experience in selecting, wearing and caring for these smart textiles, in reflecting their emotions during the wearing and in utilizing the collected data for additional health prognostics. In a conversation with the former CSUN Athletics Director, Mr. Bob Alejo, at the college Think-Tank team meeting in 2020, Mr. Alejo mentioned that the Athletic Department is having difficulties in screening and equipping the teams with appropriate high-performance smart textile products under a limited budget because they do not have an integrated tool to evaluate the tradeoffs among many factors, including performance, cost, comfort, durability etc. At the user level, among the 19 teams at CSUN’s athletic department, only student-athletes in the soccer team have tried to wear smart textiles (via donations) occasionally and reported that because of their lack of the knowledge in using real-time biometric data, they had difficulty in understanding the relationship among their human physiological reaction, performance elevation and comfort.

Smart Textiles project image collage
Research Questions and Research Objectives

To address these challenges, we have formed an interdisciplinary team of CSUN faculty, staff, and student members from the FCS department in the HHD College, the NASA- sponsored Autonomy Research Center for STEAHM (ARCS) at the university-wide level,
and the Athletic Department, to develop and evaluate a framework for selecting and evaluating smart textiles and for conducting large-scale consumer research. The development of this framework will be formulated and informed by three interrelated activities:

  1. Evaluation and comparison of different types of smart textiles through a comprehensive wear test according to the Multidisciplinary Approach to Smart Clothing framework. The implication of this activity can help student-athletes select the most cost-effective products to improve their wear and performance.
  2. Development of an application that communicates with wearable devices to collect authorized data shared by users, then processes and stores the data securely. This application uses biometric data collected from wearing these smart textiles to build the communication protocols and content.
  3. Deployment/application of a large-scale consumer research instrument based on the multi-method measurement of student-athletes’ wearing experience and user feedback. The instrument will be used for one of the CSUN student-athletic teams (e.g., Soccer team and coaches) to test validity and reliability.

The proposed research is to help the specific market segment of consumers, student athletes and coaches in selecting, wearing and using the smart textile products, in utilizing the real-time biometric data collected from wearing these smart textiles to avoid any unnecessary injuries and improve student athletes’ performance and quality of lives.

Summary:

  • Develop and evaluate a framework for selecting and evaluating smart textiles and for conducting consumer research with the deployment of a large-scale application.

  • Study user-oriented technology that reflects CSUN student-athletes’ latent smart textile needs.

  • Develop an application to extract vital data from body sensors embedded in the smart textile, then process the data for analysis and data visualization.

  • Help users understand and maintain a healthy lifestyle.

  • Analyze athletic students’ performance and help athletic staff members on training decision-making, injury prevention and management.

 

Research Methods

To understand student-athletes’ expectations and feedback in wearing these smart textiles in terms of function, safety, comfort, aesthetics and durability, the researcher will implement both the qualitative approach and quantitative method. The Multidisciplinary Approach to Smart Clothing, smart textiles stay on the intersectional area of design research (product development including objectives of environment and communication), physiology (human factors such as sensory comfort and mobility) and textile technology (smart textiles) will be used as the framework.  Data will be collected through field observation, focus group
discussion, face-to-face interviews, online questionnaires and human-being wear tests.

To achieve the first study goal, wear tests, which include the characterization of the fabric (thickness and air permeability) and the evaluation for functionality, usability, wearability, durability, maintainability, and affordability in smart textiles, will be conducted in the CSUN fields and indoor gyms. 10 subjects (5 male and 5 female) who are players on the CSUN soccer team will be required to wear smart textiles throughout the season for both training and matches. The laundry of smart textiles should follow AATCC 61 standard laundry method. Pearson correlation coefficients will be used to analyze the correlations between various biometrics and running performance. The test will be used to compare the subjects’ heart rate while wearing the regular textiles and smart textiles. ANOVA will be used to determine the effect of frequent laundering on the function/validity of the data collection. Regression analysis will be used to establish the relationship between smart textiles & fabric characterizations and players’ subjective evaluation.

To achieve the second study goal, the researcher will develop programs to retrieve data from the body sensors and design and implement an application to: (1) extract body vital data from body sensors embedded in the smart shirts, and (2) process the data for analysis and data visualization. To achieve the third study goal, an online self-administered survey will be created using questions built from field observation, focus group discussion and in-person interviews. The survey will be sent out through student-athletes’ CSUN email account after the participants agree to accept the terms of the survey and the IRB is approved. The survey instrument will be tested for its validity and reliability.

Summary:

  • Wear tests – evaluate functionality, usability, wearability, durability, maintainability and affordability in smart textiles.

  • Use an agile approach for mobile application development through close involvement of stakeholders.

  • Create an online survey using questions built from field observations, focus group discussions and in-person interviews.

Research Results and Deliverables

Summary: 

The team has developed a prototype cross-platform smart wearable mobile application to retrieve data from smartwatches and present the visualized data. The mobile app also allows users/athletes to share human body data information with the Boracle platform as well as with their coaches through integration with a web application, Coaching Dashboard.

  • Account Management
  • Biometric data visualization: Activity, Heart Rate, and Sleeping Data
  • Performance Insights
  • Apple HealthKit and Google Health Connect integration

The coaching dashboard allows coaches and other athletic staff members to view their team members’ health data collected from the smart wearable mobile app all in one place. Coaches can invite athletes to share their performance data, and view their data upon acceptance.  

Both applications were tested through an automated approach. We designed test plans and developed test programs that covered a wide range of test types such as unit, integration, system, etc. The creation of these test cases focused on scenarios aimed at uncovering defects and validating functionality. 

GitHub repository for the mobile application:

Publication and Poster Presentation:

  • Dimalanta, Carl Austin, Matthew Smith, Kian Bonakdar, Xunfei Jiang, Nhut Ho, and Trung Dung. “Poster-Boracle: An Open Data Platform For Health Condition Prognostics.” In 2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 200-201. IEEE, 2024.
  • Bonakdar, Kian, Wei Cao, Xunfei Jiang, Nhut Ho, Yi Cai, “A Framework for Smart Textile Large Scale Consumer Research”. In Hawaii International Conference on System Sciences 2024 (HICSS-57). Jan 3, 2024. (Poster Presentation)

 

Commercialization Opportunities
  • Application: Mobile application for smart wearable devices and web app for sport team coaches.

  • Key Values: Easily access and share data collected by wearable tech.

  • Potential Users: Anyone with a smart wearable device.

Research Timeline

Start Date: 01/23/2023
End Date: TBD

Research Team

Lead Researchers:

  • Wei Cao, Family and Consumer Sciences

  • Xunfei Jiang, Computer Science 

  • Nhut Ho, Mechanical Engineering

  • Yi Cai, Family and Consumer Sciences

Collaborators:

  • CSUN Athletics Department, Mr. Jim Gorman (CSUN Athletic Advocate)

Student Team:

  • Kian Bonakdar* (Fellow), M.S. in Software Engineering

  • Yijing An*, M.S. in Family and Consumer Science

  • Gerard Euan Gandionco*, B.S. Computer Science

  • Matthew Garcia*, B.S. in Computer Science

  • Carlos Figueroa*, B.S. in Computer Science

  • Harshit Penta*, M.S. in Software Engineering

  • Chenshu Liu*, M.S. in Bioengineering (UCLA)

  • Tong Zhou*, B.S. Electrical Computer Engineering (UVA)

  • Harshit Penta*, M.S. Software Engineering 

  • Shabnam Jabbari*, MS Computer Science

  • Makena Bambrick*, MS Software Engineering

  • Akul Kumar (Fellow), M.S. in Software Engineering

  • Carl Austin Dimalanta (Fellow), M.S. in Software Engineering

  • Thomas Dinh, Taylor Nastally, Francisco Revoreda (Computer Science Senior Design 2023-2024 Team)

  • Emi Anyakpor, B.S. in Computer Science

  • Jeel Patel, M.S. in Software Engineering

  • Guruvishnu Bojanapureddy, M.S. in Computer Science

  • Martin Ha, B.S. in Computer Science

  • Charne-lee Olkers, Student Athlete

  • Georgina Argueta, Helena Hill (B.S. in Public Health)

  • Xinyi Wang*, B.A. in Arts

Note: names marked with an asterisk (*) indicate current students

Funding

  • Funding Organization: CSUN College of Health and Human Development
  • Funding Program: Other