NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data

1 code implementation • 28 Jun 2023 • Kangning Yin, Zhen Ding, Zhihua Dong, Dongsheng Chen, Jie Fu, Xinhui Ji, Guangqiang Yin, Zhiguo Wang

Therefore, we open source a non-IID IoT person detection (NIPD) data set, which is collected from five different cameras.

Federated Learning Human Detection +4

Detecting and Correcting IMU Movements During Joint Angle Estimation

no code implementations • 9 Jun 2021 • Chunzhi Yi, Feng Jiang, Baichun Wei, Chifu Yang, Zhen Ding, Jubo Jin, Jie Liu

The results demonstrate our method is a promising solution to detecting and correcting IMU movements during JAE.

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations • 22 Mar 2021 • Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Multifunction Cognitive Radar Task Scheduling Using Monte Carlo Tree Search and Policy Networks

no code implementations • 18 May 2018 • Mahdi Shaghaghi, Raviraj S. Adve, Zhen Ding

A radar resource management (RRM) module makes decisions on parameter selection, prioritization, and scheduling of such tasks.

Management Scheduling