WiFi (CSI and RSSI) Data of three Coarse-grained Dining Activities (filling an electric kettle with water and turning it on, stir-frying cubed potato, and taking several cans from the fridge and putting them on a cabinet) in an Authentic Kitchen

Device-free human activity recognition (HAR) methods are attracting considerable interest due to their privacy preservation and ease of use nature of them. The granularity of the activities that a device-free HAR method aims to recognize is an important characteristic of it. This study aims to investigate the effect of activity granularity on the performance of device-free HAR methods. For this purpose, first, we utilized an authentic kitchen with an ESP32 microcontroller as a WiFi transceiver and an iPhone 12 min as a WiFi receiver. Then, we asked one user to perform three coarse-grained dining activities (i.e., filling an electric kettle with water and turning it on, stir-frying cubed potatoes, and taking several cans from the fridge and putting them on a cabinet) in the kitchen and gathering the Channel State Information (CSI) and Received Signal Strength Indicator (RSSI) data.The dataset contains 31 files for different activities (filling an electric kettle with water and turning it on, stir-frying cubed potato, and taking several cans from the fridge and putting them on a cabinet)Each file contains a list of data entries.Each data entry contains the following parts:type (CSI_DATA) - role (AP)- mac (96:DC:5A:81:E5:46) - rssi (-59) - rate (11) - sig_mode (1) - mcs (4) - bandwidth (0) - smoothing (1) - not_sounding (1) - aggregation (0) - stbc (0) - fec_coding (0) - sgi (0) - noise_floor (-95) - ampdu_cnt (0) - channel (8) - secondary_channel (0) - local_timestamp (1718710) - ant (0) - sig_len (126) - rx_state (0) - real_time_set (0) - real_timestamp (2.45605) - len (256) - CSI_DATA (a list of numbers)CSI_DATA in each data entry contains 128 numbers (64 complex numbers), The middle 11th complex numbers (22 numbers) which are 0 and we called the null subcarrier. In addition, the first complex number (2 numbers) is not valid because they are "LO Leakage". So, we will have 128 – 24 = 104 numbers which are 52 complex numbers. These are our 52 subcarriers of CSI data.