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.

本数据集聚焦于智能家居环境中单用户的活动传感器记录。所用传感器涵盖被动红外传感器（passive infrared）、力敏电阻（force sensing resistors）、干簧管（reed switches）、微型光电光敏传感器（mini photocell light sensors）、温湿度传感器以及智能插座（smart plugs）。所采集的数据涵盖用户与环境的各类交互行为，例如室内移动、床具或沙发所受压力、炉灶、电视与冰箱的使用，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。本数据集可应用于多个研究领域，包括各类方法的分析，例如用于活动识别或习惯识别的数据驱动算法。
本数据集包含三个CSV文件，分别为sensor、sensor_sample_int与sensor_sample_float。其中sensor文件存储传感器测量类型、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。