6:40 PM - 7:00 PM
[2M5-J-10-05] Gesture Recognition by Multi-task Learning using Parallel Residual Adapters
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.