no code implementations • 28 May 2023 • Yuhan Hou, Jack Ji, Yi Zhu, Thomas Dell, Xilin Liu
The inference of the DL model is performed on a low-power microcontroller in the central node.
no code implementations • 27 Nov 2022 • Ourong Lin, Tian Yu, Yuhan Hou, Yi Zhu, Xilin Liu
In a validation using a public dataset, the prototype developed achieved a FoG detection sensitivity of 88. 8% and an F1 score of 85. 34%, using less than 20 k trainable parameters per sensor node.
no code implementations • 19 Nov 2022 • Mingzhe Sun, Aaron Zhou, Naize Yang, Yaqian Xu, Yuhan Hou, Xilin Liu
The DL model has been validated using a public sleep database containing 81 subjects, achieving a state-of-the-art classification accuracy of 85. 8% and a F1-score of 79%.