Kinematics raw data of treadmill walking, running and gait transitions at different speed
<p> The dataset includes kinematics data recorded by a Motion Capture System (Vicon Motion System, Oxford, UK) at 100Hz. Data were filtered (fourth-order zero-lag Butterworth low-pass filter with a cutoff frequency of 6 Hz) and exported with Vicon’s Nexus 2.15 software.</p> <p><b> xx (JSON Dataset)<...
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| Övriga upphov: | , |
| Materialtyp: | dataset |
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2026
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| Länkar: | https://doi.org/10.60895/redata/PK1DCE |
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| _version_ | 1868890156811943936 |
|---|---|
| author | Biancardi, Carlo |
| author2 | Lagos-Hausheer, Leonardo Bona, Renata |
| author2_role | author author |
| author_browse | Biancardi, Carlo Bona, Renata Lagos-Hausheer, Leonardo |
| author_facet | Biancardi, Carlo Lagos-Hausheer, Leonardo Bona, Renata |
| author_role | author |
| collection | REDATA |
| dc.contributor.none.fl_str_mv | Biancardi, Carlo |
| dc.creator.none.fl_str_mv | Biancardi, Carlo Lagos-Hausheer, Leonardo Bona, Renata |
| dc.date.none.fl_str_mv | 2026-06-03 |
| dc.identifier.none.fl_str_mv | https://doi.org/10.60895/redata/PK1DCE |
| dc.language.none.fl_str_mv | English |
| dc.publisher.none.fl_str_mv | Repositorio de datos abiertos de investigación de Uruguay |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:REDATA instname:Agencia Nacional de Investigación e Innovación instacron:Agencia Nacional de Investigación e Innovación |
| dc.subject.none.fl_str_mv | Medicine, Health and Life Sciences Gait Analysis Walking Speed |
| dc.title.none.fl_str_mv | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| dc.type.none.fl_str_mv | Dataset http://purl.org/coar/resource_type/c_ddb1 info:eu-repo/semantics/dataset |
| description | <p> The dataset includes kinematics data recorded by a Motion Capture System (Vicon Motion System, Oxford, UK) at 100Hz. Data were filtered (fourth-order zero-lag Butterworth low-pass filter with a cutoff frequency of 6 Hz) and exported with Vicon’s Nexus 2.15 software.</p> <p><b> xx (JSON Dataset)</b></p> <p>These datasets contain gait trial data collected across different subjects, gaits, speeds. The data is stored as a hierarchical JSON file for ease of parsing, analysis, and expansion.</p> --- <p><b> Structure</b></p> <p>Subject ID: is the JSON filename.</p> <p>The data of each JSON file is organized in these hierarchical levels:</p> <p>Gait/Speed → Trial Number → Kinematic Variables (markers 3D position)</p> <p><b>Where:</b></p> <p>- **Subject ID**: A numeric string (e.g., `"7"`), - **Gait/Speed**: String representing the gait (W = walking; R = running) and the speed in hm/h (e.g., `"18"` means 1.8 km/h; "11" means 11 km/h) ). Speed values can be easily converted to m/s by dividing for 36 (e.g. 18/36 = 0.5 m/s). - **Trial Number**: A string ID for each gait tril (e.g., `"1"`, `"2"`, etc.)</p> <p><b> Trans_VSP_kinematics_data (JSON Dataset)</b></p> <p>This dataset contains variable speed protocol data collected across different subjects and trials. The data is stored as a hierarchical JSON file for ease of parsing, analysis, and expansion.</p> --- <p><b> Structure</b></p> <p>The data is organized in four hierarchical levels:</p> <p>Subject ID → Trial Number → Kinematic Variables (markers 3D position)</p> <p><b>Where:</b></p> <p- **Subject ID**: A numeric string (e.g., `"7"`), - **Trial Number**: A string ID for each gait tril (e.g., `"1"`, `"2"`, etc.)</p> <p>Each trial contains a cycle at variable speed, with walking and running legs. A customized ascent and descent speed ramp was designed, centred on the individual transition speed (Ts), with other 4 steps: Ts -20%, -10% and Ts +10%, +20%, lasting 5 s each step. The complete ramp cycle lasted 50 s.</p> <p>Individual Ts (km/h) where: 6.0: Participant IDs: 16, 24 6.5: Participant IDs: 02, 11, 12, 22, 28 7.0: Participant IDs: 04, 06, 07, 13, 17, 21, 23, 26 7.5: Participant IDs: 03, 08, 09, 10, 15, 18, 19, 20, 25 8.0: Participant IDs: 05, 14</p> <p>Each trial entry contains a dictionary of 55 sampled variables over time: Frame is an index var - The following variables are grouped by three, and named as right or left (R, L) + the name of the body marker + the axis (e.g. RLOBx, RLOBy, RLOBz, for a total of 9 anatomical positions and 18 markers). LOB = Temporal lobe SH = Acromion ELB = Elbow WR = Ulnar stiloyd process GT = Great Trochanter KN = Knee (lateral) AN = Malleolus lateral HEE = Heel MT = 5th Metatarsal The 3D sapece were calibrated following the right hand rule, with the axis "X" = mediolateral; "Y" = anteroposterior; "Z" = vertical. Values are in mm.<p> --- </head> <body> <p><b> Example</b></p> <pre><code>{ "07": { "W40": { "4": { "RLOBx": [61.44, 61.92, 60.88, ...], "RLOBy": [56.09, 56.09, 54.58, ...], ... } } } }</code></pre> </body> </html> |
| eu_rights_str_mv | openAccess |
| format | dataset |
| id | anni_a6cc67ef6fd808f41303977fd7b7a4fa |
| instacron_str | Agencia Nacional de Investigación e Innovación |
| institution | Agencia Nacional de Investigación e Innovación |
| instname_str | Agencia Nacional de Investigación e Innovación |
| language_invalid_str_mv | English |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | doi:10.60895/redata/PK1DCE |
| publishDate | 2026 |
| publishDateSort | 2026 |
| publisher.none.fl_str_mv | Repositorio de datos abiertos de investigación de Uruguay |
| reponame_str | REDATA |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Kinematics raw data of treadmill walking, running and gait transitions at different speedBiancardi, CarloLagos-Hausheer, LeonardoBona, RenataMedicine, Health and Life SciencesGait AnalysisWalking Speed<p> The dataset includes kinematics data recorded by a Motion Capture System (Vicon Motion System, Oxford, UK) at 100Hz. Data were filtered (fourth-order zero-lag Butterworth low-pass filter with a cutoff frequency of 6 Hz) and exported with Vicon’s Nexus 2.15 software.</p> <p><b> xx (JSON Dataset)</b></p> <p>These datasets contain gait trial data collected across different subjects, gaits, speeds. The data is stored as a hierarchical JSON file for ease of parsing, analysis, and expansion.</p> --- <p><b> Structure</b></p> <p>Subject ID: is the JSON filename.</p> <p>The data of each JSON file is organized in these hierarchical levels:</p> <p>Gait/Speed → Trial Number → Kinematic Variables (markers 3D position)</p> <p><b>Where:</b></p> <p>- **Subject ID**: A numeric string (e.g., `"7"`), - **Gait/Speed**: String representing the gait (W = walking; R = running) and the speed in hm/h (e.g., `"18"` means 1.8 km/h; "11" means 11 km/h) ). Speed values can be easily converted to m/s by dividing for 36 (e.g. 18/36 = 0.5 m/s). - **Trial Number**: A string ID for each gait tril (e.g., `"1"`, `"2"`, etc.)</p> <p><b> Trans_VSP_kinematics_data (JSON Dataset)</b></p> <p>This dataset contains variable speed protocol data collected across different subjects and trials. The data is stored as a hierarchical JSON file for ease of parsing, analysis, and expansion.</p> --- <p><b> Structure</b></p> <p>The data is organized in four hierarchical levels:</p> <p>Subject ID → Trial Number → Kinematic Variables (markers 3D position)</p> <p><b>Where:</b></p> <p- **Subject ID**: A numeric string (e.g., `"7"`), - **Trial Number**: A string ID for each gait tril (e.g., `"1"`, `"2"`, etc.)</p> <p>Each trial contains a cycle at variable speed, with walking and running legs. A customized ascent and descent speed ramp was designed, centred on the individual transition speed (Ts), with other 4 steps: Ts -20%, -10% and Ts +10%, +20%, lasting 5 s each step. The complete ramp cycle lasted 50 s.</p> <p>Individual Ts (km/h) where: 6.0: Participant IDs: 16, 24 6.5: Participant IDs: 02, 11, 12, 22, 28 7.0: Participant IDs: 04, 06, 07, 13, 17, 21, 23, 26 7.5: Participant IDs: 03, 08, 09, 10, 15, 18, 19, 20, 25 8.0: Participant IDs: 05, 14</p> <p>Each trial entry contains a dictionary of 55 sampled variables over time: Frame is an index var - The following variables are grouped by three, and named as right or left (R, L) + the name of the body marker + the axis (e.g. RLOBx, RLOBy, RLOBz, for a total of 9 anatomical positions and 18 markers). LOB = Temporal lobe SH = Acromion ELB = Elbow WR = Ulnar stiloyd process GT = Great Trochanter KN = Knee (lateral) AN = Malleolus lateral HEE = Heel MT = 5th Metatarsal The 3D sapece were calibrated following the right hand rule, with the axis "X" = mediolateral; "Y" = anteroposterior; "Z" = vertical. Values are in mm.<p> --- </head> <body> <p><b> Example</b></p> <pre><code>{ "07": { "W40": { "4": { "RLOBx": [61.44, 61.92, 60.88, ...], "RLOBy": [56.09, 56.09, 54.58, ...], ... } } } }</code></pre> </body> </html>Repositorio de datos abiertos de investigación de UruguayBiancardi, Carlo2026-06-03Datasethttp://purl.org/coar/resource_type/c_ddb1info:eu-repo/semantics/datasethttps://doi.org/10.60895/redata/PK1DCEreponame:REDATAinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónEnglishinfo:eu-repo/semantics/openAccessdoi:10.60895/redata/PK1DCE2026-06-17T23:09:06Z |
| spellingShingle | Kinematics raw data of treadmill walking, running and gait transitions at different speed Biancardi, Carlo Medicine, Health and Life Sciences Gait Analysis Walking Speed |
| title | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| title_full | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| title_fullStr | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| title_full_unstemmed | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| title_short | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| title_sort | Kinematics raw data of treadmill walking, running and gait transitions at different speed |
| topic | Medicine, Health and Life Sciences Gait Analysis Walking Speed |
| url | https://doi.org/10.60895/redata/PK1DCE |