# Electromyogram in Cigarette Smoking Activity Recognition
## 2 Wearable System and Dataset
### Dataset and Study Protocol  
The dataset used in this study is a part of the PACT 2.0 [35] validation study, which includes 35 participants. Those smokers were allowed to participate in this study who had a history of smoking for at least one year and carbon monoxide (CO) levels >8 ppm. However, 19 subjects' data were excluded because of missing data during wireless data transfer and noise due to Myo armband's loosening. The remaining 16 subjects (male: 9, female: 7; 9 Caucasian, 3 Asian, 2 American Indian, and 2 African American) had an average age of \(22.5\pm 5.6\) years, average smoking history of \(6.23\pm 7.25\) years, average Body mass index of \(24.6\pm 6.12\) kg/m\({}^{2}\), an average weight of \(73.9\pm 17.64\) kg, and an average  
Figure 1: (a) Myo armband and eight sEMG channels. (b) IMU orientation. (c) Myo armband placement on the forearm.  
chest circumference of \(85.63\pm 12.34\) cm. The subjects' self-reported cigarette consumption was \(11\pm 5.54\) per day, and with an average CO level of \(14\pm 6.21\) ppm measured during the screening. Each subject was pre-aware of the study protocol which approved by the Institutional Review Board of the University of Alabama. Each participants provided their consent for participation in the written format. Subjects reported that they were healthy and had no acute or chronic respiratory problems. While wearing the Myo armband on the upper side of the forearm, participants performed ten ordered activities: (1) reading aloud on a desk, (2) treadmill-walking at the self-selected slow speed, (3) treadmill-walking at the self-selected fast speed, (4) resting on a chair, (5) smoking while sitting, (6) talking over the phone, (7) eating while sitting, (8) smoking while walking and talking, (9) smoking while talking and sitting, and (10) smoking while walking silently. Except for eating and smoking, all activities lasted for the maximum of 5 min. Participants also had an unconstrained break of 10-15 min duration between cigarettes. A freely available mobile application (aTimeLogger-Time Tracker) was employed to record the start and end time information of the performed activities. All data were transferred to a laptop computer via Bluetooth during the study. The dataset contained 25 h of daily activity and 64 smoking events. The smoking events had a total duration of 4.75 h. The remaining data contain different hand-related activities such as cell phone usage (39 times), providing signature in the paper (16 times), holding food plate and drinking cup (52 times), eating and dining activities (more than 100 activities), shaking hands (13 times), holding handrails, doorknobs (more than 50 times), etc. All these hand-related activities were included under the broad category \"non-smoking events\". Figure 2 shows the characteristic sensor signals during a smoking session. Figure 2c-e indicates that EMG signals have different patterns for puffing duration.  
Figure 2: An example of sensor signals from a participant while sitting and smoking. (**a**) accelerometer x-axis, (**b**) gyroscope x-axis, (**c**) EMG channel-3, (**d**) EMG channel-4, and (**e**) EMG channel-5. Highlighted areas show puffing events.