Research
AthleteLife: Encouraging Athletes' Skills, Physical, and Mental Condition
Ongoing 2020 - Present

AthleteLife: Encouraging Athletes' Skills, Physical, and Mental Condition

Data collection and reduction platform using smartphones and wearable devices to track athlete condition and performance, developed collaboratively with student-athletes.

Sports Wearable Well-being

Overview

Traditional assessment of student-athletes' physical and mental condition relies heavily on questionnaires and specialized equipment, imposing significant burden. AthleteLife is a data collection and reduction platform that leverages smartphones and wearable devices to passively and continuously track athlete condition and performance, developed collaboratively with student-athletes.

AthleteLife

Approach

  • AthleteLife (UbiComp 2024): Passive mobile and wearable sensing platform that automatically captures exercise intensity and lifestyle patterns correlated with mental and physical states, reducing assessment burden
  • MiQ (UbiComp 2021): Experience sampling tool for repetitive skills training in sports using a voice user interface (VUI), enabling hands-free recording of subjective experiences during practice with minimum workload

Results

  • A four-week data collection from 19 student-athletes demonstrated that wearable devices and smartphones can automatically capture exercise intensity and lifestyle patterns correlated with mental and physical states
  • MiQ's voice-based interface successfully enabled hands-free subjective data collection during repetitive training without disrupting practice routines

Significance

AthleteLife demonstrates that passive sensing technologies can replace or supplement traditional burden-intensive assessment methods for student-athletes. By enabling continuous, low-burden monitoring of both physical and mental condition, the platform supports early detection of overtraining and mental health concerns in athletic populations.

Key Publications

2024 Best Poster Award

Toward Detecting Student-Athletes' Condition Using Passive Mobile and Wearable Sensing

Zhenbo Wang, Akihito Taya, Takaaki Kato, Kaoru Sezaki, Yuuki Nishiyama

Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing

2021

Experience Sampling Tool for Repetitive Skills Training in Sports Using Voice User Interface

Yuuki Nishiyama, Kaoru Sezaki

Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers