Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data

26 Feb 2020 Lago Paula Matsuki Moe Inoue Sozo

In this study, we propose a method for single sensor-based activity recognition, trained with data from multiple sensors. There is no doubt that the performance of complex activity recognition systems increases when we use enough sensors with sufficient quality, however using such rich sensors may not be feasible in real-life situations for various reasons such as user comfort, privacy, battery-preservation, and/or costs... (read more)

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