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.

本数据集聚焦于单一用户在智能家居环境中的活动传感器记录。所采用的传感器包括被动红外传感器、力敏电阻、 Reed 开关、微型光敏传感器、温湿度传感器以及智能插座。数据集捕捉的内容包括用户与环境的交互，例如室内移动、床或沙发上的压力施加、炉灶、电视和冰箱的使用，或咖啡机、洗碗机、洗衣机、三明治机和微波炉等电器的使用。该数据集可在多个领域发挥效用，包括对不同方法的分析，例如，用于活动识别或习惯识别的数据驱动算法。数据集包含三个 CSV 文件，分别为 sensor、sensor_sample_int 和 sensor_sample_float。sensor 文件包含传感器测量类型或传感器名称等信息。sensor_sample_int 文件包含整型数据类型的传感器测量值，而 sensor_sample_float 文件则包含浮点型数据类型的传感器测量值。