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健康老年人活动识别,可穿戴传感器数据集

健康老年人活动识别,可穿戴传感器数据集

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Life Classification

Data Set Information:该数据集包含14名年龄在66至86岁之间的健康老年人的运动数据,他们在胸骨水平的衣服上使用无电池、可穿戴......

数据结构 ? 639K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    该数据集包含14名年龄在66至86岁之间的健康老年人的运动数据,他们在胸骨水平的衣服上使用无电池、可穿戴的传感器进行广泛的脚本化活动。由于使用被动传感器,数据稀疏且有噪声。
    参与者被分配到两个临床室(S1和S2)。S1(房间1)的设置使用房间周围的4根RFID读卡器天线(一根在天花板上,三根在墙壁上)收集数据,而S2(房间2)的设置使用3根RFID读卡器天线(两根在天花板上,一根在墙壁上)收集运动数据。
    The activities performed were:
    walking to the chair,
    sitting on the chair,
    getting off the chair,
    walking to bed,
    lying on bed,
    getting off the bed and
    walking to the door.
    Hence the possible class labels assigned for every sensor observation are:
    - Sitting on bed
    - Sitting on chair
    - Lying on bed
    - Ambulating, where ambulating includes standing, walking around the room.


    Attribute Information:

    The content of the file is as follows:
    Comma separated values (CSV) format.
    Column 1: Time in seconds
    Column 2: Acceleration reading in G for frontal axis
    Column 3: Acceleration reading in G for vertical axis
    Column 4: Acceleration reading in G for lateral axis
    Column 5: Id of antenna reading sensor
    Column 6: Received signal strength indicator (RSSI)
    Column 7: Phase
    Column 8: Frequency
    Column 9: Label of activity, 1: sit on bed, 2: sit on chair, 3: lying, 4: ambulating
    In addition, gender of participant is included in the last character of file name eg: d1p33F (F:female).


    Relevant Papers:

    Wickramasinghe, A., Ranasinghe, D. C., Fumeaux, C., Hill, K. D., Visvanathan, R. (2016), 'Sequence Learning with Passive RFID Sensors for Real Time Bed-egress Recognition in Older People,' in IEEE Journal of Biomedical and Health Informatics , vol.PP, no.99, pp.1-1

    Shinmoto Torres, R. L., Visvanathan, R., Hoskins, S., van den Hengel, A., Ranasinghe, D. C. (2016). Effectiveness of a batteryless and wireless wearable sensor system for identifying bed and chair exits in healthy older people. Sensors, 16(4), 546.

    Wickramasinghe, A., Ranasinghe, D. C. (2015, August). Recognising Activities in Real Time Using Body Worn Passive Sensors With Sparse Data Streams: To Interpolate or Not To Interpolate?. In proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 21-30). ICST.

    Shinmoto Torres, R. L., Ranasinghe, D. C., Shi, Q. (2013, December). evaluation of wearable sensor tag data segmentation approaches for real time activity classification in elderly. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (pp. 384-395). Springer International Publishing.

    Shinmoto Torres, R. L., Ranasinghe, D. C., Shi, Q., Sample, A. P. (2013, April). Sensor enabled wearable RFID technology for mitigating the risk of falls near beds. In 2013 IEEE International Conference on RFID (pp. 191-198). IEEE.


    Citation Request:

    Shinmoto Torres, R. L., Ranasinghe, D. C., Shi, Q., Sample, A. P. (2013, April). Sensor enabled wearable RFID technology for mitigating the risk of falls near beds. In 2013 IEEE International Conference on RFID (pp. 191-198). IEEE.

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