Presentation information

General Session

General Session » [GS] J-10 Vision, speech

[2M5-J-10] Vision, speech: movement of bodies and objects

Wed. Jun 5, 2019 5:20 PM - 7:00 PM Room M (Front-right room of 1F Exhibition hall)

Chair:Eiki Ishidera Reviewer:Yoko Nishihara

6:40 PM - 7:00 PM

[2M5-J-10-05] Gesture Recognition by Multi-task Learning using Parallel Residual Adapters

〇Noeru Suzuki1, Kosuke Kikui2, Yuta Itoh3, Hisashi Kashima1, Makoto Yamada1 (1. Kyoto University, 2. Keio University, 3. Tokyo Institute of Technology)

Keywords:Gesture Recognition, Multi-task Learning, Transfar Learning

The photo reflective sensor (PRS) is a tiny distant-measurement module whilch is widely used in wearable user-interface. A issue of such wearable PRS devices is the performance degradation when a user data is not included in the training set (we call the inter-user setup). Moreover, the recognition accuracy also degrades when the same user re-wears the device (we call the intra-user setup). In this paper, we introduce the multi-task learning algorithm using the Parallel residual adapters as a method to perform additional training at high speed using a small amount of additional data. In the experiments, we demonstrate the performance improvement in inter-user and intra-user setup with the data of an actual PRS device.