Research
Passive Mobile & Wearable Sensing Framework
Ongoing 2019 - Present

Passive Mobile & Wearable Sensing Framework

AWARE is an open-source sensing framework passively collecting sensor data from smartphones, used in over 200 academic papers. Responsible for iOS, macOS, and watchOS development.

Open Source Sensing Framework Ubiquitous Computing

Overview

The latest smartphones have advanced sensors that enable context recognition, but Android and iOS follow different policies, requiring careful consideration during research planning and data collection. AWARE is an open-source sensing framework that passively collects sensor data from multiple hardware, software, and human sensors in smartphones. It has been used in over 200 academic papers worldwide. I am responsible for iOS, macOS, and watchOS development.

AWARE Framework

Approach

  • AWARE-iOS (HCII 2020): Designed, implemented, and evaluated a mobile sensing framework for iOS that addresses strict background data collection and application distribution regulations
  • Multi-platform support: iOS, macOS, watchOS, and Android with a plugin architecture for custom sensor modules
  • Sustainable sensing guidelines: Performance evaluations and case studies over 288 hours on four device types to identify optimal sensor settings for improved data collection

Results

  • Identified risks of continuous background data collection on iOS and explored optimal practical sensor settings across four device types over 288 hours
  • Developed guidelines for sustainable data collection on iOS, addressing battery consumption, data completeness, and background execution limitations
  • The framework has been adopted in over 200 academic papers worldwide for mobile sensing research

Significance

AWARE-iOS enables sustainable, long-term mobile sensing research on the iOS platform, which was previously challenging due to strict background execution policies. The sensing guidelines and open-source framework lower the barrier for researchers across various fields to conduct large-scale, in-the-wild studies using smartphones.

Key Publications

2023

Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation

Yuuki Nishiyama, Kaoru Sezaki

Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing

2020

Using IOS for Inconspicuous Data Collection: A Real-World Assessment

Yuuki Nishiyama, Denzil Ferreira, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki

Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

2020

iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform

Yuuki Nishiyama, Denzil Ferreira, Yusaku Eigen, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki

Distributed, Ambient and Pervasive Interactions