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

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