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 - 14:54
DOI:
10.21227/7d8x-yr60
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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)

Dataset Files

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