Identification and analysis of human physical exercise postures using computer vision and deep learning /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/13163/ |
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| LEADER | 01839nam a2200445 i 4500 | ||
|---|---|---|---|
| 001 | u1149873 | ||
| 003 | SIRSI | ||
| 005 | 202111161140 | ||
| 008 | 211116s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TK7 |b UM 2021 Kri | ||
| 097 | |a TK7 |b UM 2021 Kri | ||
| 100 | 1 | |a Krishnamoorthy, Sriram, |e author. | |
| 245 | 1 | 0 | |a Identification and analysis of human physical exercise postures using computer vision and deep learning / |c Sriram Krishnamoorthy. |
| 264 | 1 | |c 2021. | |
| 300 | |a xiv, 66 leaves : |b illustrations (some colour) ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 56-60. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Human mechanics |x Computer simulation. | |
| 650 | 0 | |a Human engineering |x Data processing. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Human-computer interaction |x Research. | |
| 650 | 0 | |a Joints |x Range of motion |x Measurement. | |
| 650 | 0 | |a Biological control systems. | |
| 650 | 0 | |a Electromyography. | |
| 650 | 0 | |a Posture. | |
| 650 | 0 | |a Deep learning (Machine learning) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/13163/ |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 | ||
| 999 | |a TK7 UM 2021 KRI |w LC |c 1 |i A517716836 |f 24/1/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 16/11/2021 |1 STEM |o .STAFF. Terima tesis dari Perpustakaan Kejuruteraan tanpa surat Agreement & CD. | ||
| 999 | |a TK7 UM 2021 KRI |w LC |c 1 |i A517733145 |f 22/3/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 22/3/2022 |1 STEM | ||