Wi-Fi signal strength measurements from smartphone for various hand gestures

Introduction:

This is a dataset of Wi-Fi Received Signal Strength Indicator (RSSI) values collected in an Android phone (Samsung Galaxy S7) while performing a set of over-the-air hand gestures (Push, Pull, and Swipe) around the phone. It was collected as part of the work reported in the paper: "Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones".

Each file contains a series of RSSI values belonging to a single collection session, recorded while performing the same hand gesture repeatedly. A collection session proceeded as below:

* The AP and the smartphone are configured according to specific spacial setup and traffic scenario.

* The subject performing the experiment sits in a chair facing the smartphone.

* The smartphone is connected to the AP.

* The RSSI collection application is started.

* At a specific point in time (start time), the subject starts performing the gestures. Consecutive gestures are separated by a ten seconds gap (gap time).

* Both the start and gap times are noted down and used later to extract the gesture windows (portions of the collected RSSI stream that correspond to hand gestures).

* The collected RSSI stream is stored by the phone in a text file with a name specifying the performed gesture. The file is then exported to a PC.

File names format:

_________________

<part1>_<part2>_<part3>_<part4>_<part5>_<part6>_<part7>_<part8>.txt

Where,

<part1>: Performed gesture name (swipe|push|pull)

<part2>: Time in seconds that marks the start of the first gesture

<part3>: The time gap in seconds between each two consecutive gestures

<part4>: Absoluate time when the collection started

<part5>: Absoluate time when the collection ended

<part6>: Spatial placement of the smartphone and AP; (same-room: when both are placed in the same room | two-rooms: if they are placed in different rooms)*

<part7>: (induction: if artificial traffic is being induced between the smartphone and the AP | no-induction: if no artificial traffic is induced)*

<part8>: (internet: if Internet is enabled in the smarthpone via the AP | no-internet: if Internet is disabled)

* Refer to the paper "Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones" for details on the collection setup and procedure.

File format:

___________

(All fields are separated by a 'tab' character)

first row: columns labels, i.e. (time          rssi)

remaining rows: <c1>    <c2>

where:

<c1>: nanoseconds since some fixed arbitrary time. These values do not correspond to wall clock time but give a precise time measure for RSSI recoding times, relative to each other.

<c2>: RSSI value