Our Object Detection model with more than 150 participants in different poses: standing, sitting, bending and laying. The model is well balanced and has a Precision of 94.7%, Recall of 72.3% and mAP o
SPHERE 100 Homes Study Dataset是由布里斯托大学工程学院开发的多模态传感器平台数据集，旨在监测住宅环境中的健康和行为。该数据集已在英国布里斯托约50个家庭中部署，收集数据长达一年。数据集内容丰富，包括环境传感器数据、可穿戴设备数据和视频数据，旨在为未来的住宅医疗系统提供原型。数据集的创建过程涉及多学科合作，应用领域广泛，旨在解决家庭健康监测和行为分析的问题。
The database consists of falls and activities of daily living performed by two persons (person1 and person2) – each person performed all activities twice. Hence, the database consists of 72 video sequ
