Human Activity Vibrations

We present a unique, comprehensive dataset that provides the pattern of five activities walking, cycling, taking train, bus, or taxi. The measurements are carried out by embedded sensor accelerometers in smartphones. offers dynamic responses subjects carrying smartphones varied styles as they perform through vibrations acquired accelerometers. contains corresponding time stamps and three directions longitudinal, horizontal, vertically stored an Excel Macro-enabled Workbook (xlsm) format can be used to train AI model smartphone which has potential collect people’s vibration data decide what movement is being conducted. Moreover, with more received, database updated larger dataset. prevalence opens door crowdsensing, leads people public transport understood. Furthermore, consumed each activity available Therefore, better understanding using transport, services schedules planned perceptively.