In-smoking respiration and hand gesture IMU signals

Citation Author(s):: volkan senyurek (The university of Alabama)

Edward Sazonov (The university of Alabama)

Stephan Tiffany (University at Buffalo)

Masudul Imtiaz (The university of Alabama)

Prajakta Belsare (The university of Alabama)
Submitted by:: volkan senyurek
Last updated:: Tue, 01/21/2020 - 19:54
DOI:: 10.21227/7d8x-yr60
Data Format:: .csv

609 views

Categories:

Wearable Sensing

Keywords:

ACCESS DATASET CITE

Abstract

These CSV files contain the wearable sensor data (RIP and IMU )collected from forty subjects during multiple cigarette smoking sessions.

Unix_time;Air_volume;Acc_x;Acc_y;Acc_z;Gyro_z;Gyro_y;Gyro_z;Puff_label

1508422775.107716;0.152453;-0.299239;0.643658;0.551803;-19.422554;-5.030965;-0.513648;0

1508422775.117717;0.158024;-0.295076;0.644872;0.550053;-12.148512;-7.795601;1.466739;0

1508422775.127717;0.163883;-0.290974;0.647284;0.549203;-4.083356;-10.720964;3.481177;0

1508422775.137717;0.169834;-0.286920;0.650502;0.550134;4.671266;-13.769435;5.529415;0

1508422775.147718;0.175980;-0.282592;0.654563;0.553597;13.979452;-16.823568;7.575012;0

1508422775.157718;0.182117;-0.277179;0.659758;0.559042;23.628141;-19.757325;9.542117;0

1508422775.167718;0.188229;-0.270221;0.665873;0.564969;33.305498;-22.496849;11.374955;0

1508422775.177719;0.194513;-0.261979;0.673034;0.570075;42.701115;-24.985147;13.056668;0

1508422775.187719;0.200926;-0.253093;0.682405;0.573717;51.593177;-27.171810;14.570514;0

1508422775.197719;0.207171;-0.244214;0.695092;0.575952;59.874517;-29.030667;15.881838;0

1508422775.207719;0.213248;-0.235723;0.711265;0.577308;67.565673;-30.553937;16.963801;0

1508422775.217720;0.219274;-0.227696;0.730104;0.578480;74.787456;-31.742250;17.817791;0

1508422775.227720;0.225176;-0.220078;0.750075;0.579927;81.676203;-32.599463;18.456894;0

1508422775.237720;0.231179;-0.212882;0.769619;0.581492;88.295862;-33.132336;18.887571;0

1508422775.247721;0.237298;-0.206192;0.787704;0.582356;94.607785;-33.351479;19.108364;0

1508422775.257721;0.243359;-0.200163;0.803707;0.581440;100.475061;-33.270067;19.119319;0

1508422775.267721;0.249413;-0.195036;0.817074;0.577794;105.658952;-32.897144;18.930358;0

1508422775.277722;0.255340;-0.191107;0.827287;0.570926;109.820421;-32.231325;18.558514;0

1508422775.287722;0.261106;-0.188594;0.834244;0.561007;112.570786;-31.253126;18.023488;0

1508422775.297722;0.266806;-0.187517;0.838732;0.548850;113.562244;-29.928963;17.343627;0

1508422775.307723;0.272397;-0.187681;0.842282;0.535599;112.613273;-28.241053;16.536391;0

1508422775.317723;0.277908;-0.188643;0.846486;0.522365;109.817024;-26.209185;15.616212;0

Instructions:

These CSV files contain the wearable sensor data collected from forty subjects during multiple cigarette smoking sessions.

Sensor signals were recorded by using PACT 2.0 [1] at a sampling frequency of 100 Hz.

For each subject, a separate CSV file has generated.

The first column shows timestamps in the Unix format.

The next seven columns belong air volume(L), accelerometer (x,y,z), gyroscope (x,y,x), respectively. The last column is the puffing label (1 means puffing).

For details about the dataset and data collection, please read the following papers:

[1] Imtiaz, M.H.; Ramos-Garcia, R.I.; Senyurek, V.Y.; Tiffany, S.; Sazonov, E. Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions. Electronics 2017, 6, 104

[2] Senyurek, V.Y.; Imtiaz, M.H.; Belsare P.; Tiffany, S.; Sazonov, E.A CNN-LSTM Neural Network for Recognition of Puffing in Smoking Episodes Using Wearable Sensors. Biomedical Engineering Letters (BMEL)