About

Go beyond a fitness dashboard.

Modern phones and wearables can capture activity, cardiac signals, sleep, movement, and environmental exposure. Your job is to connect those measurements into a coherent story about the user over time.

Wellness, not diagnosis.
The application is a wellness and behavioral informatics system. It must not diagnose diseases or psychological conditions.

Platform Flexible

Use Apple iPhone/Watch, Android/Wear OS, or another contemporary mobile/wearable ecosystem that supports your proposed functionality.

Interdisciplinary

Bring together computing, engineering, psychology, human performance, health, design, visualization, and other complementary expertise.

Personalized

Learn what is typical for the individual and identify meaningful changes instead of relying only on generic thresholds.

Responsible

Communicate uncertainty, protect sensitive data, request only needed permissions, and avoid unsupported causal or medical claims.

Challenge Overview

Build one coherent system

The wearable senses the person. The smartphone receives, integrates, analyzes, and presents the information. Your system must address at least three major dimensions of everyday wellness.

Multimodal sensing. Integrate multiple dimensions of behavior, physiology, or environmental context.
At least three multimodal inferences. Combine measurements or context rather than merely reporting individual sensor values.
Personal baselines. Learn what is typical for the user so changes can be interpreted meaningfully.
Longitudinal analysis. Show meaningful patterns across days or weeks, not only the current moment.
Unified experience. Help users interpret measurements and inferred patterns in context.
Privacy & efficiency. Minimize unnecessary data collection, transmission, and high-rate background computation.

Who can participate?

Build a team with complementary strengths

Teams should consist of 3–6 currently enrolled UH students who remain enrolled through the end of Spring 2027. One student serves as team leader for registration, submissions, and official communication.

Students from different colleges and departments may form a team, and mixed undergraduate/graduate teams are encouraged.

3–6
Students per team
1
Team leader
3+
Wellness dimensions
3+
Multimodal inferences

Competition Schedule

From team formation to live demo

Each milestone advances the system from concept to a refined application demonstrating integrated sensing, personalization, inference, and longitudinal visualization.

Oct. 08 – Nov. 13, 2026

Team Registration

Register the team, team leader, members, and proposed platform.

Nov. 14 – Dec. 11, 2026

Concept Proposal

Submit the concept, team expertise, sensing plan, proposed inferences, architecture, and initial interface concept.

Dec. 12, 2026 – Feb. 26, 2027

Preliminary Prototype

Submit a functioning prototype, technical summary, run instructions, screenshots, and demonstration materials.

Feb. 27 – Mar. 26, 2027

Semi-Final

Demonstrate integrated sensing, personal baselines, multimodal inference, longitudinal views, and responsible design.

Mar. 27 – Apr. 16, 2027

Final Round

Submit final materials and participate in the live demonstration and interview on April 16.

Apr. 20, 2027

Award Ceremony

Winners recognized at the Centennial Games Award Ceremony.

Judging criteria

What the judges will reward

Quality of implementation matters—but so do inference, personalization, clarity, originality, and responsible handling of data.

25%
Multimodal integration & quality of inference
20%
Technical implementation & reliability
15%
Personalization & longitudinal insight
15%
User experience & visualization
10%
Innovation & originality
10%
Privacy, responsible interpretation & efficiency
5%
Final demonstration, interview & communication

Hardware

Teams are responsible for obtaining the smartphones, wearables, computers, and other devices needed to develop, test, demonstrate, and submit their work.

AI Use

AI-assisted tools may support brainstorming, design, coding, debugging, analysis, and documentation—but the team must understand and defend every component of the submission.

Human Data

Teams may test with their own members' data. Using data from other human participants requires an appropriately approved IRB protocol and applicable University requirements.

Competition Chair

Ioannis Thomas Pavlidis, Ph.D.

Eckhard-Pfeiffer Professor of Computer Science

Director, Affective & Data Computing Lab (ACDC)

Competition Chair, Track 06 — University of Houston

Ioannis Thomas Pavlidis

About

Ioannis Thomas Pavlidis is the Eckhard-Pfeiffer Professor of Computer Science, an IEEE Fellow, and Director of the Affective & Data Computing Lab (ACDC) at the University of Houston. His research combines computing and physiological sensing to understand human behavior in everyday environments, with applications in health and wellness, transportation, education, and human performance. Dr. Pavlidis leads the Affective & Data Computing Lab (ACDC), where he directs interdisciplinary projects funded by the National Science Foundation, DARPA, and other major agencies. A central theme of his research is the use of computational models to interpret latent psychophysiological patterns under naturalistic conditions, including high-stakes decision-making and immersive training environments.

Ready to Register Your Team?

Ensure your team meets all qualifications.

Team Registration

Contact Us

If you have any questions about the contest, please reach out to Ioannis Thomas Pavlidis, Eckhard Pfeiffer Professor of Computer Science at ipavlidis@uh.edu.