The Ability Data Project aims to establish an Asian-centric normative and patient movement database consists of kinetic and kinematic data.

  • The normative movement database provides a benchmark of normal movements, and it can be used as a reference against individuals with movement impairments to determine the severity of the impairment, effectiveness of treatment, rehabilitation progress and to develop new rehabilitation technologies and methods.

  • The patient movement database contains patients with neurological and orthopaedic conditions and will be tracked longitudinally. Changes in kinetic and kinematic parameters across time could then be used to estimate the trajectory of the recovery.

    • More information can be found at Ability Data Information Webpage
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    100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking
    Roberts, Oliver; Gonzalez, Pablo Cruz; Kaliya-Perumal, Arun-Kumar; Wu, Tsung-Lin; Lim, Lek Syn; Li, Xun; Tan, Isaac Okumura; Sidarta, Ananda; Kwong, Patrick Wai Hang; Chua, Karen Sui Geok; Ang, Wei Tech; Tan, Bryan Yijia, 2026, "100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science", https://doi.org/10.21979/N9/3Z2N2Z, DR-NTU (Data), V1
    Gait assessment is fundamental for the evaluation of mobility. The 10-meter walk test is an established measure of gait speed in meters/second. Its simplicity in administration contrasts with the loss of a substantial wealth of biomechanical information when it is conducted alone...
    Information.zip
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    ZIP Archive - 52.6 KB - MD5: f2baac98057947f6fe980c12b6383fbd
    P001_10MWT_01.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.7 MB - MD5: 9c0d1a7f2e25fbebb8faa3127e3ddbdf
    P001_10MWT_02.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.4 MB - MD5: e3294bed1615c4db8de49130e9f1b6e1
    P001_10MWT_03.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.5 MB - MD5: b3a86e1e017c5bbcb67ce86c43d306e9
    P001_static_01.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 36.5 KB - MD5: 3170e2c02d05eb4bdeb7dff0f0829c96
    P002_10MWT_01.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.5 MB - MD5: 6058e3e22879a1db08c79ecedf64a87e
    P002_10MWT_02.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.5 MB - MD5: fc9239df5a284ef3fc6d073026bb9080
    P002_10MWT_03.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 1.5 MB - MD5: 63d6ea92e2072253b92cc3b0afad3e44
    P002_static_01.c3d
    Feb 12, 2026 - 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science
    Unknown - 36.0 KB - MD5: 4fc6e77b23e88d38577df33a5993ef5e
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