Research
Senbay Kit
Completed 2015 - 2020

Senbay Kit

Platform embedding sensor data into video frames using animated 2D barcodes via real-time video processing. Supports iOS, Android, macOS, and web.

Video Processing Sensor Data Open Source

Overview

Synchronizing video and sensor data is essential for context-aware applications, but existing methods require complex infrastructure. Senbay Kit is a platform that embeds collected sensor data into video frames using animated two-dimensional barcodes via real-time video processing on smartphones.

Approach

  • Sensor-federated video (MobileHCI 2018, UbiComp 2015): Embedding sensor data as animated QR codes directly into video frames during recording on smartphones, enabling easy sharing through popular video sharing services
  • Multi-platform: Supporting iOS, Android, macOS, Unix-based OS, and web browsers
  • Data integration: Seamlessly combining video and sensor data into a single video stream for context-aware applications, integrated data recording, and sensor-data-based video editing

Results

  • Demonstrated real-time embedding and extraction of sensor data in video frames on consumer smartphones
  • Enabled sharing of "sensor-federated" video through existing video sharing platforms without additional infrastructure
  • Supported diverse use cases including context-aware video applications, synchronized data recording, and sensor-driven video editing

Significance

Senbay provides a lightweight, infrastructure-free solution for integrating sensor data with video. By leveraging animated QR codes and existing video sharing platforms, it enables researchers and developers to easily capture, share, and restream synchronized multi-sensor video data using only smartphones.

Key Publications

2018 Honorable Mention Award

Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream

Yuuki Nishiyama, Anind K Dey, Denzil Ferreira, Takuro Yonezawa, Jin Nakazawa

Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

2015

Senbay: Smartphone-Based Activity Capturing and Sharing Using Sensor-Federated Video

Yuuki Nishiyama, Tadashi Okoshi, Yin Chen, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda

Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers