CASAS Smart Home dataset (raw) - free living, motion, door, activity labels

This dataset represents ambient data collected longitudinally in 49 community homes. This is a resource for analyzing naturalistic behavior in a home and building activity recognition models that operate in the wild. Data are collected continuously from ambient sensors while residents perform their normal routines. The data fields are date, time, sensor identifier, and message. The sensors consist of PIR (motion) sensors and magnetic door (open/close) sensors. Sensors are attached to ceilings and identified by their location in the home (e.g., Bathroom, Bedroom, DiningRoom, Bed, Bath, OfficeChair). If a home contains more than one room of a given type, the corresponding sensors are distinguished by a trailing letter to differentiate the rooms (e.g., BedroomA, BedroomB). The lens of most motion sensors are constrained to cover a 1 meter diameter area. To detect movement in a larger area, an unconstrained sensor is angled to cover an entire room or region and is indicated by Area (e.g., BedroomArea). There is one file per home. These datasets represent entries with raw sensor identifiers - a version of the data with mapped sensor names can be found in zenodo dataset 10.5281/zenodo.15708568. The resource also includes text files that denote the region of the home (or intersection of regions) where each sensor is located. Note: Other CASAS smart home and smartwatch datasets are also available, look for more at https://zenodo.org/communities/casas.本数据集包含对49个社区住宅开展长期采集的环境感知数据，可用于分析住宅中的自然行为，并构建可在真实场景中部署的活动识别模型。 居民日常居家活动期间，环境传感器会持续采集数据。数据字段包含日期、时间、传感器标识符与消息内容。 传感器包括PIR（运动感应）传感器与磁性门窗（开合状态）传感器。所有传感器均安装于天花板，以其在住宅中的位置进行命名（例如浴室、卧室、餐厅、床铺区、浴室区、办公椅）。 若某住宅存在同类型的多个房间，则对应传感器会通过后缀字母加以区分（例如BedroomA、BedroomB）。 大部分运动传感器的感应视场被限定为直径1米的区域。 若需覆盖更大区域检测移动，可将无限制型传感器倾斜安装以覆盖整个房间或区域，此类传感器以“Area”作为后缀标识（例如BedroomArea）。 每个住宅对应一个数据文件。本数据集采用原始传感器标识符进行标注，已完成传感器名称映射的数据版本可在Zenodo数据集10.5281/zenodo.15708568中获取。 本资源还附带文本文件，用于标注每个传感器所在的住宅区域（或区域交集）。 注意：其他CASAS智能家居与智能手表数据集也已公开，可访问https://zenodo.org/communities/casas 获取更多相关数据集。