This is very cool and useful, but at the same time very concerning. While I see a lot of good use cases for this ranging from hospitals to stress recognition in animals I Am also quite scared, that big corporations will use this to spy on us. Luckily currently it is only possible to measure the pulse at about 3m, but it should be possible to increase the range. It may fall short when multiple persons are in detection range, but as far as I have read from the paper they did not test this.
Does it describe the methodology of how they use the transmitter and receiver?
What specifically are they transmitting? Is it actually wifi signals within the 802.11 protocols, or is “wifi” just shorthand for emitting radio waves in the same spectrum bands as wifi?
Yeah sadly it is paywalled, but I have been lucky enough to get access to it through my university.
Heres what I found regarding your question in the article:
Fig 1 illustrates Pulse-Fi’s system architecture which consists of three main components: data collection using commodity Wi-Fi devices, a CSI signal processing pipeline, and a custom lightweight Long Short Term Memory neural network for heart rate estimation.
Fig 1:
And this is the Setup they used to collect the ESP-HR-CSI Dataset (left site) and the one that other researchers used to collect the E-Health Dataset (right side):
The parts on how they collected the data:
A. ESP-HR-CSI Dataset
We collected the ESP-HR-CSI dataset from seven participants (5 male, 2 female) in a room of a public indoor library. It was collected using two ESP32 devices, one as the transmitter and the other as the receiver. The sampling rate is 80 Hz, with a 20 MHz bandwidth with 64 subcarriers positioned at different distances. Each participant was measured at distances of 1,2 and 3 m for 5 minutes each. The participants sat in a chair between the devices and wore a pulse oximeter on their finger to collect ground-truth information as seen in
B. E-Health Dataset
The E-Health dataset [20] contains CSI collected from 118 participants (88 men, 30 women) in a controlled indoor environment measuring 3 m×4 m (Fig 4). The setup consists of a router set in the 5 GHz band at 80 MHz bandwidth as a transmitter, a laptop as receiver and a single-antenna Raspberry Pi 4B with NEXMON firmware for CSI data collection (234 subcarriers). Participants wore a Samsung Galaxy Watch 4 for the ground truth.
Each participant performed 17 standardized positions or activities, with each position held for 60 seconds.
To me it sounds like, that they really just used standard WIFI to collect the data (this is especially true for the E-Health Dataset), since all the processing gets done on the Raspberry Pi.
Health data is extremely valuable. You can use it to serve more personalised ads or even use it to, as example, define prices for health insurance. When you combine it with lots of other data it becomes even more valuable. Also never forget, big corporations track literally everything. Why not add your heart rate.
The Paper: https://ieeexplore.ieee.org/abstract/document/11096342/metrics#metrics
This is very cool and useful, but at the same time very concerning. While I see a lot of good use cases for this ranging from hospitals to stress recognition in animals I Am also quite scared, that big corporations will use this to spy on us. Luckily currently it is only possible to measure the pulse at about 3m, but it should be possible to increase the range. It may fall short when multiple persons are in detection range, but as far as I have read from the paper they did not test this.
Article is paywalled for me.
Does it describe the methodology of how they use the transmitter and receiver?
What specifically are they transmitting? Is it actually wifi signals within the 802.11 protocols, or is “wifi” just shorthand for emitting radio waves in the same spectrum bands as wifi?
Yeah sadly it is paywalled, but I have been lucky enough to get access to it through my university.
Heres what I found regarding your question in the article:
Fig 1:
And this is the Setup they used to collect the ESP-HR-CSI Dataset (left site) and the one that other researchers used to collect the E-Health Dataset (right side):
The parts on how they collected the data:
To me it sounds like, that they really just used standard WIFI to collect the data (this is especially true for the E-Health Dataset), since all the processing gets done on the Raspberry Pi.
Sure, everyone is getting spied on by everyone because everyone is so damned important to everyone.
Health data is extremely valuable. You can use it to serve more personalised ads or even use it to, as example, define prices for health insurance. When you combine it with lots of other data it becomes even more valuable. Also never forget, big corporations track literally everything. Why not add your heart rate.
Let’s try again: someone is getting spied on by someone because someone is so damned important to someone. And there’s a lot of someones.