Splining raw kinematic data of standing-bending-lifting movement
Spline functions and digital filtering are two numerical methods normally used by the researchers in the field of biomechanics to perform data smoothing and time differentiation. The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bendi...
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| creator | Omar, Nurhidayah Isa, Munawwarah Solihah Muhammad Salleh, Ahmad Faizal Salim, Mohammad Shahril |
| description | Spline functions and digital filtering are two numerical methods normally used by the researchers in the field of biomechanics to perform data smoothing and time differentiation. The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing. |
| doi_str_mv | 10.1063/5.0172431 |
| format | Conference Proceeding |
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The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0172431</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Angular acceleration ; Angular velocity ; Bending ; Biomechanics ; Data smoothing ; Differentiation ; Error analysis ; Hoisting ; Kinematics ; Mathematical analysis ; Numerical methods ; Smoothing ; Spline functions</subject><ispartof>AIP Conference Proceedings, 2024, Vol.2905 (1)</ispartof><rights>Author(s)</rights><rights>2024 Author(s). 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The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing.</description><subject>Angular acceleration</subject><subject>Angular velocity</subject><subject>Bending</subject><subject>Biomechanics</subject><subject>Data smoothing</subject><subject>Differentiation</subject><subject>Error analysis</subject><subject>Hoisting</subject><subject>Kinematics</subject><subject>Mathematical analysis</subject><subject>Numerical methods</subject><subject>Smoothing</subject><subject>Spline functions</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkEtLxDAUhYMoOI4u_AcFd0LG3KR5dKcMvmDAhQruQpqmkrFNa5NR_Pdm6KwO3Ptx7j0HoUsgKyCC3fAVAUlLBkdoAZwDlgLEMVoQUpU4zz9O0VmMW0JoJaVaoNvXsfPBh89iMr_Flw-uN8nbojHJFENbxGRCk9e4drN2vk17vB9-XO9COkcnremiuzjoEr0_3L-tn_Dm5fF5fbfBIwgF2PC2obWQBnhFhSLW0cYSUVvDlMivMGpBOGMrEKJ11rKyJlwyaVvgpKSWLdHV7DtOw_fOxaS3w24K-aSmVY6uFJMqU9czFa1POcgQ9Dj53kx_GojeN6S5PjTE_gG9Elc7</recordid><startdate>20240105</startdate><enddate>20240105</enddate><creator>Omar, Nurhidayah</creator><creator>Isa, Munawwarah Solihah Muhammad</creator><creator>Salleh, Ahmad Faizal</creator><creator>Salim, Mohammad Shahril</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20240105</creationdate><title>Splining raw kinematic data of standing-bending-lifting movement</title><author>Omar, Nurhidayah ; Isa, Munawwarah Solihah Muhammad ; Salleh, Ahmad Faizal ; Salim, Mohammad Shahril</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1681-a5fd2b67a1592680ce2dc06bca38697732c16eac9166fecc34b05737cf15042c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Angular acceleration</topic><topic>Angular velocity</topic><topic>Bending</topic><topic>Biomechanics</topic><topic>Data smoothing</topic><topic>Differentiation</topic><topic>Error analysis</topic><topic>Hoisting</topic><topic>Kinematics</topic><topic>Mathematical analysis</topic><topic>Numerical methods</topic><topic>Smoothing</topic><topic>Spline functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Omar, Nurhidayah</creatorcontrib><creatorcontrib>Isa, Munawwarah Solihah Muhammad</creatorcontrib><creatorcontrib>Salleh, Ahmad Faizal</creatorcontrib><creatorcontrib>Salim, Mohammad Shahril</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Omar, Nurhidayah</au><au>Isa, Munawwarah Solihah Muhammad</au><au>Salleh, Ahmad Faizal</au><au>Salim, Mohammad Shahril</au><au>Mohamad, Sharifah Fairuz Syed</au><au>Yusuf, Mazlynda Md</au><au>Jaapar, Asmah Mohd</au><au>Shariff, Nurul Sima Mohamad</au><au>Hamzah, Siti Raihana</au><au>Rasedee, Ahmad Fadly Nurullah</au><au>Kamil, Karmila Hanim</au><au>Yusoff, Yumn Suhaylah</au><au>Razak, Muhammad Zaim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Splining raw kinematic data of standing-bending-lifting movement</atitle><btitle>AIP Conference Proceedings</btitle><date>2024-01-05</date><risdate>2024</risdate><volume>2905</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Spline functions and digital filtering are two numerical methods normally used by the researchers in the field of biomechanics to perform data smoothing and time differentiation. The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0172431</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP Conference Proceedings, 2024, Vol.2905 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
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| source | AIP Journals Complete |
| subjects | Angular acceleration Angular velocity Bending Biomechanics Data smoothing Differentiation Error analysis Hoisting Kinematics Mathematical analysis Numerical methods Smoothing Spline functions |
| title | Splining raw kinematic data of standing-bending-lifting movement |
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