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RESEARCH PRODUCT
The Impact of Human Walking on the Time-Frequency Distribution of In-Home Radio Channels
Matthias PatzoldAlireza Borhanisubject
Computer scienceFingerprint (computing)Real-time computingProcess (computing)Wearable computer020206 networking & telecommunications02 engineering and technologyActivity recognition0202 electrical engineering electronic engineering information engineeringSpectrogram020201 artificial intelligence & image processingRadio waveCommunication channelEnvelope (motion)description
Passive activity recognition of home occupants has become a very hot topic in the area of radio communications, as it enables the development of cutting-edge healthcare monitoring solutions. Thanks to ubiquitous radio waves, such as WiFi signals, at today's homes, one can process radio waves reflected off a person's body for identifying certain mobility patterns. This new approach ignores the need for any wearable sensors. This paper reports a challenging indoor radio channel measurement campaign at 5.9 GHz, which has been conducted to study the impact of walking persons on the temporal and spectral properties of the channel. In particular, the time-frequency distribution of the channel has been investigated by spectrogram analysis. It is shown that the spectrogram not only contains fingerprint information of the walking activity, but also allows for the discrimination of two different walking persons. Similar observations can hardly be made by standard techniques based on the analysis of temporal variations of the received channel envelope. The results presented in the paper are useful for the development of passive activity recognition algorithms.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-11-01 | 2018 Asia-Pacific Microwave Conference (APMC) |