Fine-Grained Activities of Daily Living Data with Structural Vibration and Electrical Load Sensing
Shijia Pan, Mario E. Berges, Juleen L Rodakowski, Pei Zhang, Hae Young Noh · Zenodo (CERN European Organization for Nuclear Research) · 2020
Fine-grained non-intrusive monitoring of activities of daily living (ADL) enables various smart building applications, including ADL pattern assessments for older adults at risk for loss of safety or independence. We utilize structural vibration sensing and electrical load sensing to acquire multiple fine-grained kitchen activities under a lab structure setting. Each file contains the following values: -RawData: time series of data for each channel (vibration on the table, vibration on the floor, load) -Label: manually fine-grained labels of events -Table: detected events start/stop index for vibration sensor on the table -Floor: detected events start/stop index for vibration sensor on the floor -Load: detected events start/stop index for load sensor Label notation: 1 -- operating the kettle 2 -- kettle on 3 -- operating the microwave 4 -- microwave on 5 -- put things on the stove 6 -- operating with stove 7 -- stove on 8 -- operating vacuum 9 -- sweep floor 10 -- walking/step 11 -- miscellaneous 12 -- synchronization signal (knock on the floor) 13 -- vacant 14 -- microwave door open