Dataset: User side acquisition of People-Centric Sensing in the Internet-of-Things

- This archive contains the files submitted to the 2nd International<br> Workshop on Data: Acquisition To Analysis (DATA) at SenSys. Files<br> provided in this package are associated with the paper titled<br> "Dataset: User side acquisition of People-Centric Sensing in the<br> Internet-of-Things" - Content of the package: + 1_beacon_table.pkl: The beacon table in Pickle format. It contains<br> 20612286 data points where each data point represents a Bluetooth<br> beacon with 15 attributes as follows: &lt;_id, host_id, ble_address,<br> sound_avg_peak, sound_max_peak, sound_count_over_thres_per_frame,<br> sound_avg_all, sound_avg_over_thres, temperature, humidity,<br> pressure, eco2_ppm, tvoc_ppb, rssi, timestamp&gt;. + 2_device_description_table.pkl: The device description table<br> provides the mapping between a device's Bluetooth address and its<br> physical identity (device_id, description, type). + 3_checkin_table.pkl: The check-in table provides a timeseries of<br> user interactions with three Android tablets (i.e. tuples of &lt;time,<br> host_id, checkpoint device&gt;). + 4_sample_beacon_table.pkl: The sample beacon table in Pickle<br> format. It contains 1000 data points where each data point<br> represents a Bluetooth beacon with 15 attributes as follows: &lt;_id,<br> host_id, ble_address, sound_avg_peak, sound_max_peak,<br> sound_count_over_thres_per_frame, sound_avg_all,<br> sound_avg_over_thres, temperature, humidity, pressure, eco2_ppm,<br> tvoc_ppb, rssi, timestamp&gt;. + 5_sample_device_description_table.pkl: The sample device description<br> table provides the mapping between a device's Bluetooth address and<br> its physical identity (device_id, description, type). + 6_sample_checkin_table.pkl: The check-in table provides a<br> timeseries of user interactions with three Android tablets<br> (i.e. tuples of &lt;time, host_id, checkpoint device&gt;). + print_table_heads.py: A Python script which fetches Pickle tables<br> as DataFrames and prints out the sample entries. <br> - ACM Reference Format: Chenguang Liu, Jie Hua, Tomasz Kalbarczyk,<br> Sangsu Lee, and Christine Julien. 2019. Dataset: User side<br> acquisition of People-Centric Sensing in the Internet-of-Things. In<br> The 2nd Workshop on Data Acquisition To Analysis(DATA’19), November<br> 10, 2019, New York, NY, USA. ACM, New York, NY, USA, 3 pages.<br> https://doi.org/10.1145/3359427.3361914