Multi-sensor dataset of human activities in a smart home environment

This dataset is about sensor recordings of activities performed by a single user in a smart home environment. The sensors used include, passive infrared, force sensing resistors, reed switches, mini photocell light sensors, temperature and humidity, and smart plugs. The data captured include, the user's interactions with the environment, such as indoor movements, pressure applied on the bed or couch, use of the stove, TV, and fridge, or the use of electrical appliances, such as, coffee maker, dishwasher, washing machine, sandwich maker, or microwave. The dataset can be useful in several areas, including, analysis of different methods, e.g., data-driven algorithms for activity recognition or habit recognition. The dataset contains three csv files, namely, sensor, sensor_sample_int, and sensor_sample_float. The sensor file contains information, such as, the type of sensor measurement or the sensor name. The sensor_sample_int file contains sensor measurements of integer datatype while sensor_sample_float file contains sensor measurements of datatype float.本数据集聚焦智能家庭环境中单用户的活动传感器记录数据。所使用的传感器类型包括被动红外传感器、力敏电阻器、干簧管开关、微型光电光敏传感器、温湿度传感器以及智能插座。所捕获的数据涵盖用户与环境的各类交互行为，例如室内移动、床或沙发承受的压力、炉灶、电视与冰箱的使用情况，亦或是咖啡机、洗碗机、洗衣机、三明治机、微波炉等家用电器的运行状态。该数据集可应用于多个研究领域，例如针对活动识别或习惯识别的数据驱动算法等各类方法的分析研究。本数据集包含三个逗号分隔值（Comma-Separated Values，CSV）文件，分别为'sensor'、'sensor_sample_int'与'sensor_sample_float'。其中'sensor'文件包含传感器测量类型、传感器名称等信息；'sensor_sample_int'文件存储整数数据类型的传感器测量值，而'sensor_sample_float'文件则存储浮点数据类型的传感器测量值。