Amazon Technologies, Inc.

Xiaofu Ma

Avinash Joshi

Piyush Tayal

Qinghai Gao

QingYun Wei

Qiang Hu

Feng Zhang

Xi Chen

Mohammed Rana Basheer

Cong Phuoc Huynh

Technologies directed to respiration monitoring based on noise channel state information (CSI) data are described. A method includes receiving CSI data representing channel properties of a wireless channel used by a first wireless device and a second wireless device located in a geographical region. The method generates a set of CSI samples by sampling the CSI data and removes one or more outlier CSI samples using a sparse outlier process, and removes a cluster of outlier samples using a cluster outlier process. The method determines Fast Fourier Transform (FFT) data for each channel subcarrier index and a signal-to-noise ratio (SNR) value for each channel subcarrier index, and identifies a first number of channel subcarrier indexes having highest SNR values to obtain a subset of FFT data, which represents a breathing spectrum. The method determines a respiratory rate of a user in the geographical region from the subset of the FFT data.

Respiration monitoring based on noisy channel state information (CSI) data

Techniques for performing high-precision presence detection by establishing and monitoring peer-to-peer communication links between user devices residing in a same physical environment. A user device that resides in the environment may establish communication links with multiple other user devices residing in the environment. The user device may monitor the channel properties for those communication links to detect fluctuations in the channel properties caused by a user moving through a signal of the communication links. In examples where the user device detects fluctuations in channel properties for multiple communication links, the user device may determine that the user had moved though signals of the communication links. The user device may determine that, because the user moved through signals of multiple communication links, the user may be in close proximity to the user device, such as in the same room. Thus, the user device monitors multiple communication links to perform presence-detection techniques.

Proximity detection using device-to-device communication links

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San Mateo, CA, United States of America

Xiaofu Ma