Technique to estimate human reaction time based on visual perception
The design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Healthcare Technology Letters |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0106 |
| _version_ | 1819052468736098304 |
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| author | Reza Abbasi-Kesbi Hamidreza Memarzadeh-Tehran M. Jamal Deen |
| author_facet | Reza Abbasi-Kesbi Hamidreza Memarzadeh-Tehran M. Jamal Deen |
| author_sort | Reza Abbasi-Kesbi |
| collection | DOAJ |
| description | The design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific and medical frequency of 2.45 GHz. Relevant tests to estimate the HRT are performed in two different scenarios including simple and recognition tests for 90 pairs of measurements. The obtained results are compared with a computer-based system to determine the accuracy of the proposed system. The root mean square error, standard deviation error and mean error of the results are 2.88, 6.17 and 0.3 ms for simple test while for recognition test as low as 3.34, 7.83 and 0.35 ms, respectively. The outcomes of the HRT estimation tests confirm HRT can increase by 40–87% due to increased fatigue levels. |
| first_indexed | 2024-12-21T12:20:19Z |
| format | Article |
| id | doaj.art-5b20b92cac644f39aa829a57c3c0bf04 |
| institution | Directory Open Access Journal |
| issn | 2053-3713 |
| language | English |
| last_indexed | 2024-12-21T12:20:19Z |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Healthcare Technology Letters |
| spelling | doaj.art-5b20b92cac644f39aa829a57c3c0bf042022-12-21T19:04:19ZengWileyHealthcare Technology Letters2053-37132017-01-0110.1049/htl.2016.0106HTL.2016.0106Technique to estimate human reaction time based on visual perceptionReza Abbasi-Kesbi0Hamidreza Memarzadeh-Tehran1M. Jamal Deen2University of TehranUniversity of TehranMcMaster UniversityThe design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific and medical frequency of 2.45 GHz. Relevant tests to estimate the HRT are performed in two different scenarios including simple and recognition tests for 90 pairs of measurements. The obtained results are compared with a computer-based system to determine the accuracy of the proposed system. The root mean square error, standard deviation error and mean error of the results are 2.88, 6.17 and 0.3 ms for simple test while for recognition test as low as 3.34, 7.83 and 0.35 ms, respectively. The outcomes of the HRT estimation tests confirm HRT can increase by 40–87% due to increased fatigue levels.https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0106visual perceptiongyroscopestransceiversmean square error methodsfatiguebiomechanicswireless sensor networkstelemedicineHRThuman reaction timevisual perceptionwearable systemvisual stimuluswireless motion sensorsgyroscopetransceiverroot mean square errorstandard deviation errormean errorfatigue levelssimple testrecognition testfrequency 2.45 GHztime 3.34 mstime 7.83 mstime 0.35 ms |
| spellingShingle | Reza Abbasi-Kesbi Hamidreza Memarzadeh-Tehran M. Jamal Deen Technique to estimate human reaction time based on visual perception Healthcare Technology Letters visual perception gyroscopes transceivers mean square error methods fatigue biomechanics wireless sensor networks telemedicine HRT human reaction time visual perception wearable system visual stimulus wireless motion sensors gyroscope transceiver root mean square error standard deviation error mean error fatigue levels simple test recognition test frequency 2.45 GHz time 3.34 ms time 7.83 ms time 0.35 ms |
| title | Technique to estimate human reaction time based on visual perception |
| title_full | Technique to estimate human reaction time based on visual perception |
| title_fullStr | Technique to estimate human reaction time based on visual perception |
| title_full_unstemmed | Technique to estimate human reaction time based on visual perception |
| title_short | Technique to estimate human reaction time based on visual perception |
| title_sort | technique to estimate human reaction time based on visual perception |
| topic | visual perception gyroscopes transceivers mean square error methods fatigue biomechanics wireless sensor networks telemedicine HRT human reaction time visual perception wearable system visual stimulus wireless motion sensors gyroscope transceiver root mean square error standard deviation error mean error fatigue levels simple test recognition test frequency 2.45 GHz time 3.34 ms time 7.83 ms time 0.35 ms |
| url | https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0106 |
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