Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91754Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 張俊彥 | zh_TW |
| dc.contributor.advisor | Chun-Yen Chang | en |
| dc.contributor.author | 鄭靖騰 | zh_TW |
| dc.contributor.author | Ching-Teng Cheng | en |
| dc.date.accessioned | 2024-02-22T16:34:13Z | - |
| dc.date.available | 2024-02-23 | - |
| dc.date.copyright | 2024-02-22 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-01-27 | - |
| dc.identifier.citation | 1. 交通部統計處. (2018). 自行車使用狀況調查摘要分析.
2. 交通部運輸研究所. (2009). 自行車推廣策略研究. 3. 交通部運輸研究所. (2017). 自行車道系統規劃設計參考手冊. 4. 交通部觀光署. (2022). 交通部觀光局攜手國際自行車虛擬平台大廠Rouvy共同行銷臺灣成為自行車旅遊天堂。. 5. 高速公路局. (2003). 景觀道路相關設施設計及施工參考手冊. 6. 國土管理署. (2022). 市區道路及附屬工程設計規範(111 02 修正版). 7. 勞動部. (2020). 勞工從事休閒活動情形. 8. Akers, A., Barton, J., Cossey, R., Gainsford, P., Griffin, M., & Micklewright, D. (2012). Visual color perception in green exercise: Positive effects on mood and perceived exertion. Environmental science & technology, 46(16), 8661-8666. 9. Árnason, A., Hafsteinsson, S. B., Grétarsdóttir, T., Schram, K., & Kjartansdóttir, K. (2015). Speeding Towards the Future through the Past: Landscape, Movement and National Identity. Landscape Research, 40(1), 23-38. 10. Azuma, R. T. (1997). A survey of augmented reality. Presence: teleoperators & virtual environments, 6(4), 355-385. 11. Broach, J., Dill, J., & Gliebe, J. (2012). Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transportation Research Part A: Policy and Practice, 46(10), 1730-1740. 12. Brown, J. F. (1931). The visual perception of velocity. Psychologische Forschung, 14(1), 199-232. 13. Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009). Measuring the built environment for physical activity: state of the science. American journal of preventive medicine, 36(4), S99-S123. e112. 14. Buehler, R., & Dill, J. (2016). Bikeway networks: A review of effects on cycling. Transport reviews, 36(1), 9-27. 15. Cf, O. (2015). Transforming our world: the 2030 Agenda for Sustainable Development. United Nations: New York, NY, USA. 16. Chen, J., Chen, L., Li, Y., Zhang, W., & Long, Y. (2023). Measuring physical disorder in urban street spaces: a large-scale analysis using street view images and deep learning. Annals of the American Association of Geographers, 113(2), 469-487. 17. Chen, P., Shen, Q., & Childress, S. (2018). A GPS data-based analysis of built environment influences on bicyclist route preferences. International Journal of Sustainable Transportation, 12(3), 218-231. 18. Chen, P., Shen, Q., & Childress, S. (2018). A GPS data-based analysis of built environment influences on bicyclist route preferences. International Journal of Sustainable Transportation, 12(3), 218-231. 19. Christiansen, L. B., Cerin, E., Badland, H., Kerr, J., Davey, R., Troelsen, J., Sugiyama, T. (2016). International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study. Journal of Transport & Health, 3(4), 467-478. 20. Cole-Hunter, T., Donaire-Gonzalez, D., Curto, A., Ambros, A., Valentín, A., Garcia- Aymerich, J., Jerrett, M. (2015). Objective correlates and determinants of bicycle commuting propensity in an urban environment. Transportation Research Part D: Transport and Environment, 40, 132-143. 21. Cook, M., & Edensor, T. (2017). Cycling through dark space: Apprehending landscape otherwise. Mobilities, 12(1), 1-19. 22. Daniel, T. C. (2001). Whither scenic beauty? Visual landscape quality assessment in the 21st century. Landscape and Urban Planning, 54(1-4), 267-281. 23. Deng, L., Li, X., Luo, H., Fu, E.-K., Ma, J., Sun, L.-X., Jia, Y. (2020). Empirical study of landscape types, landscape elements and landscape components of the urban park promoting physiological and psychological restoration. Urban Forestry & Urban Greening, 48, 126488. 24. Dill, J., & Gliebe, J. (2008). Understanding and measuring bicycling behavior: A focus on travel time and route choice. 25. Ding, X., Fan, H., & Gong, J. (2021). Towards generating network of bikeways from Mapillary data. Computers, Environment and Urban Systems, 88, 101632. 26. Dong, L., Jiang, H., Li, W., Qiu, B., Wang, H., & Qiu, W. (2023). Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston. Landscape and Urban Planning, 235, 104756. 27. Evans-Cowley, J. S., & Akar, G. (2014). StreetSeen visual survey tool for determining factors that make a street attractive for bicycling. Transportation Research Record, 2468(1), 19-27. 28. Flowers, E. P., Freeman, P., & Gladwell, V. F. (2018). Enhancing the acute psychological benefits of green exercise: An investigation of expectancy effects. Psychology of sport and exercise, 39, 213-221. 29. Gaertner, R. J., Kossmann, K. E., Benz, A. B., Bentele, U. U., Meier, M., Denk, B. F., Pruessner, J. C. (2023). Relaxing effects of virtual environments on the autonomic nervous system indicated by heart rate variability: A systematic review. Journal of environmental psychology, 102035. 30. Gerstenberg, T., Baumeister, C. F., Schraml, U., & Plieninger, T. (2020). Hot routes in urban forests: The impact of multiple landscape features on recreational use intensity. Landscape and Urban Planning, 203, 103888. 31. Ghadirian, P., & Bishop, I. D. (2008). Integration of augmented reality and GIS: A new approach to realistic landscape visualisation. Landscape and Urban Planning, 86(3-4), 226-232. 32. Ghermandi, A., Depietri, Y., & Sinclair, M. (2022). In the AI of the beholder: A comparative analysis of computer vision-assisted characterizations of human-nature interactions in urban green spaces. Landscape and Urban Planning, 217, 104261. 33. Gibson, E. J. (1963). Perceptual learning. Annual review of psychology, 14(1), 29-56. 34. Gidlow, C. J., Jones, M. V., Hurst, G., Masterson, D., Clark-Carter, D., Tarvainen, M. P., Nieuwenhuijsen, M. (2016). Where to put your best foot forward: Psycho- physiological responses to walking in natural and urban environments. Journal of environmental psychology, 45, 22-29. 35. Gladwell, V. F., Brown, D. K., Wood, C., Sandercock, G. R., & Barton, J. L. (2013). The great outdoors: how a green exercise environment can benefit all. Extreme physiology & medicine, 2(1), 1-7. 36. Gordon, D. A. (1965). Static and dynamic visual fields in human space perception. Josa, 55(10), 1296-1303. 37. Götschi, T., Garrard, J., & Giles-Corti, B. (2016). Cycling as a part of daily life: a review of health perspectives. Transport reviews, 36(1), 45-71. 38. Grazuleviciene, R., Vencloviene, J., Kubilius, R., Grizas, V., Dedele, A., Grazulevicius, T., Jones, M. (2015). The effect of park and urban environments on coronary artery disease patients: a randomized trial. BioMed research international, 2015. 39. Gülçin, D., & Yalçınkaya, N. M. (2022). Correlating fluency theory-based visual aesthetic liking of landscape with landscape types and features. Geo-spatial Information Science, 1-20. 40. Han, K.-T. (2017). The effect of nature and physical activity on emotions and attention while engaging in green exercise. Urban Forestry & Urban Greening, 24, 5-13. 41. Hartig, T., Mitchell, R., De Vries, S., & Frumkin, H. (2014). Nature and health. Annual review of public health, 35, 207-228. 42. Hull, A., & O’holleran, C. (2014). Bicycle infrastructure: can good design encourage cycling? Urban, Planning and Transport Research, 2(1), 369-406. 43. Hussain, Q., Alhajyaseen, W. K., Pirdavani, A., Reinolsmann, N., Brijs, K., & Brijs, T. (2019). Speed perception and actual speed in a driving simulator and real-world: A validation study. Transportation research part F: traffic psychology and behaviour, 62, 637-650. 44. Hussain, Q., Almallah, M., Alhajyaseen, W. K., & Dias, C. (2020). Impact of the geometric field of view on drivers’ speed perception and lateral position in driving simulators. Procedia Computer Science, 170, 18-25. 45. Ikura, H., Katsumata, Y., Seki, Y., Ryuzaki, T., Shiraishi, Y., Miura, K., Fukuda, K. (2022). Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease. IJC Heart & Vasculature, 43, 101147. 46. Ito, K., & Biljecki, F. (2021). Assessing bikeability with street view imagery and computer vision. Transportation research part C: emerging technologies, 132, 103371. 47. Ittelson, W. H. (1973). Environment and cognition. 48. Ittelson, W. H. (1978). Environmental perception and urban experience. Environment and behavior, 10(2), 193-213. 49. Jiang, B., Deal, B., Pan, H., Larsen, L., Hsieh, C.-H., Chang, C.-Y., & Sullivan, W. C. (2017). Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density. Landscape and Urban Planning, 157, 270-281. 50. Jung, W. H., Woo, J.-M., & Ryu, J. S. (2015). Effect of a forest therapy program and the forest environment on female workers’ stress. Urban Forestry & Urban Greening, 14(2), 274-281. 51. Jungnickel, K., & Aldred, R. (2014). Cycling’s sensory strategies: How cyclists mediate their exposure to the urban environment. Mobilities, 9(2), 238-255. 52. Kaplan, R., & Kaplan, S. (1989). The experience of nature: A psychological perspective: Cambridge university press. 53. Kaplan, S. (1995). The restorative benefits of nature: Toward an integrative framework. Journal of environmental psychology, 15(3), 169-182. 54. Kemeny, A., & Panerai, F. (2003). Evaluating perception in driving simulation experiments. Trends in cognitive sciences, 7(1), 31-37. 55. Keyes, C. L., & Lopez, S. J. (2009). Toward a science of mental health. Oxford handbook of positive psychology, 2, 89-95. 56. Kim, W., Lim, S.-K., Chung, E.-J., & Woo, J.-M. (2009). The effect of cognitive behavior therapy-based psychotherapy applied in a forest environment on physiological changes and remission of major depressive disorder. Psychiatry investigation, 6(4), 245. 57. Kuykendall, L., Tay, L., & Ng, V. (2015). Leisure engagement and subjective well- being: A meta-analysis. Psychological bulletin, 141(2), 364. 58. Lahart, I., Darcy, P., Gidlow, C., & Calogiuri, G. (2019). The effects of green exercise on physical and mental wellbeing: A systematic review. International Journal of Environmental Research and Public Health, 16(8), 1352. 59. Lu, Y., Yang, Y., Sun, G., & Gou, Z. (2019). Associations between overhead-view and eye-level urban greenness and cycling behaviors. Cities, 88, 10-18. 60. Lusk, A. C., Mekary, R. A., Feskanich, D., & Willett, W. C. (2010). Bicycle riding, walking, and weight gain in premenopausal women. Archives of internal medicine, 170(12), 1050-1056. 61. Ma, L., & Dill, J. (2015). Associations between the objective and perceived built environment and bicycling for transportation. Journal of Transport & Health, 2(2), 248-255. 62. Marciano, H. (2017). The effect of billboard design specifications on driving: a pilot study. Accident Analysis & Prevention, 104, 174-184. 63. McIlroy, B., Passfield, L., Holmberg, H.-C., & Sperlich, B. (2021). Virtual training of endurance cycling–a summary of strengths, weaknesses, opportunities and threats. Frontiers in sports and active living, 3, 631101. 64. Microsoft. (2023). The confidence score of an answer. Retrieved from https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/concepts/confidence- score 65. Mulfari, D., Celesti, A., Fazio, M., Villari, M., & Puliafito, A. (2016). Using Google Cloud Vision in assistive technology scenarios. Paper presented at the 2016 IEEE symposium on computers and communication (ISCC). 66. Nawrath, M., Kowarik, I., & Fischer, L. K. (2019). The influence of green streets on cycling behavior in European cities. Landscape and Urban Planning, 190, 103598. 67. Ohly, H., White, M. P., Wheeler, B. W., Bethel, A., Ukoumunne, O. C., Nikolaou, V., & Garside, R. (2016). Attention Restoration Theory: A systematic review of the attention restoration potential of exposure to natural environments. Journal of Toxicology and Environmental Health, Part B, 19(7), 305-343. 68. Oja, P., Titze, S., Bauman, A., De Geus, B., Krenn, P., Reger‐Nash, B., & Kohlberger, T. (2011). Health benefits of cycling: a systematic review. Scandinavian journal of medicine & science in sports, 21(4), 496-509. 69. Park, G., & Evans, G. W. (2016). Environmental stressors, urban design and planning: implications for human behaviour and health. Journal of urban design, 21(4), 453-470. 70. Peng, S.-H., & Han, K.-T. (2018). Assessment of aesthetic quality on soil and water conservation engineering using the scenic beauty estimation method. Water, 10(4), 407. 71. Pucher, J., & Buehler, R. (2012). City cycling: MIT press. 72. Rapoport, A. (2016). Human aspects of urban form: towards a man—environment approach to urban form and design: Elsevier. 73. Riches, S., Azevedo, L., Bird, L., Pisani, S., & Valmaggia, L. (2021). Virtual reality relaxation for the general population: a systematic review. Social psychiatry and psychiatric epidemiology, 56, 1707-1727. 74. Russell, J. A., & Mehrabian, A. (1974). Distinguishing anger and anxiety in terms of emotional response factors. Journal of consulting and clinical psychology, 42(1), 79. 75. Russell, J. A., & Pratt, G. (1980). A description of the affective quality attributed to environments. Journal of personality and social psychology, 38(2), 311. 76. Sandercock, G., & Brodie, D. (2006). The use of heart rate variability measures to assess autonomic control during exercise. Scandinavian journal of medicine & science in sports, 16(5), 302-313. 77. Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in public health, 258. 78. Singleton, P. A. (2019). Walking (and cycling) to well-being: Modal and other determinants of subjective well-being during the commute. Travel behaviour and society, 16, 249-261. 79. Song, C., Ikei, H., Igarashi, M., Takagaki, M., & Miyazaki, Y. (2015). Physiological and psychological effects of a walk in urban parks in fall. International Journal of Environmental Research and Public Health, 12(11), 14216-14228. 80. Staats, H. (2012). Restorative environments. The Oxford handbook of environmental and conservation psychology, 445. 81. Šťastná, M., Vaishar, A., Zapletalová, J., & Ševelová, M. (2018). Cycling: A benefit for health or just a means of transport? Case study Brno (Czech Republic) and its surroundings. Transportation research part F: traffic psychology and behaviour, 55, 219-233. 82. Stratmann, L., Buse, D. S., Heinovski, J., Klingler, F., Sommer, C., Tünnermann, J., Dressler, F. (2019). Psychological feasibility of a virtual cycling environment for human-in-the-loop experiments. Paper presented at the INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für Gesellschaft (Workshop-Beiträge). 83. Thompson Coon, J., Boddy, K., Stein, K., Whear, R., Barton, J., & Depledge, M. H. (2011). Does participating in physical activity in outdoor natural environments have a greater effect on physical and mental wellbeing than physical activity indoors? A systematic review. Environmental science & technology, 45(5), 1761-1772. 84. Tran, P. T., Zhao, M., Yamamoto, K., Minet, L., Nguyen, T., & Balasubramanian, R. (2020). Cyclists’ personal exposure to traffic-related air pollution and its influence on bikeability. Transportation Research Part D: Transport and Environment, 88, 102563. 85. Tsunetsugu, Y., Park, B.-J., & Miyazaki, Y. (2010). Trends in research related to “Shinrin-yoku”(taking in the forest atmosphere or forest bathing) in Japan. Environmental health and preventive medicine, 15(1), 27-37. 86. Ulrich, R. S. (1981). Natural versus urban scenes: Some psychophysiological effects. Environment and behavior, 13(5), 523-556. 87. Valentini, M., & Parati, G. (2009). Variables influencing heart rate. Progress in cardiovascular diseases, 52(1), 11-19. 88. Westmattelmann, D., Grotenhermen, J.-G., Sprenger, M., Rand, W., & Schewe, G. (2021). Apart we ride together: The motivations behind users of mixed-reality sports. Journal of Business Research, 134, 316-328. 89. Wilkins, E. J., Van Berkel, D., Zhang, H., Dorning, M. A., Beck, S. M., & Smith, J. W. (2022). Promises and pitfalls of using computer vision to make inferences about landscape preferences: Evidence from an urban-proximate park system. Landscape and Urban Planning, 219, 104315. 90. Winters, M., Brauer, M., Setton, E. M., & Teschke, K. (2010). Built environment influences on healthy transportation choices: bicycling versus driving. Journal of urban health, 87, 969-993. 91. World Health Organization, t. (2010). Global recommendations on physical activity for health: World Health Organization. 92. Yang, Y., Wu, X., Zhou, P., Gou, Z., & Lu, Y. (2019). Towards a cycling-friendly city: An updated review of the associations between built environment and cycling behaviors (2007–2017). Journal of Transport & Health, 14, 100613. 93. Yeh, H.-P., Stone, J. A., Churchill, S. M., Brymer, E., & Davids, K. (2017). Physical and emotional benefits of different exercise environments designed for treadmill running. International Journal of Environmental Research and Public Health, 14(7), 752. 94. Zube, E. H., Sell, J. L., & Taylor, J. G. (1982). Landscape perception: research, application and theory. Landscape planning, 9(1), 1-33. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91754 | - |
| dc.description.abstract | 本研究探討騎自行車時景觀特徵對騎乘者生理與心理健康的影響，騎自行車 不僅是一種綠色交通工具和有氧運動，對於促進健康和福祉、以及實現永續城市 目標具有重要作用，但騎行中對景觀的感知尚未得到充分研究，本研究旨在提供 更精確的環境特徵資訊對騎乘者生心理健康效益的影響，運用 Google Vision API 分析騎行時的景觀特徵，結合 ROUVY 和 WAHOO KICKR BIKE V2 智能擬真訓 練台進行室內虛擬騎行，搭配 Health Cloud APP、Apple Watch 和 Benegear 胸戴 式心率感測器等穿戴裝置實時追蹤騎乘者的生心理數據，包括心跳、心律變異、 情緒和景觀偏好，探討車道環境特徵對騎乘者健康和福祉的影響。
本研究發現即便在虛擬騎行環境中，機動車輛的出現仍對騎乘者的生理造成 壓力。在車道型式方面，筆直的公路及清晰的車道基礎設施能有效降低騎行者心 理壓力並提升安全感，而路肩等明確劃分車道的特徵則與放鬆情緒呈正相關，以 及車道標誌對於提升騎乘體驗的重要性。自然環境的部分，山景與遠景等自然元 素在促進心理放鬆及減壓上扮演關鍵角色，此外，棕梠樹、木本植物和草地等植 栽綠化特徵與生心理效益正相關。在建成環境中，城市設計的優劣對於緩解心理 壓力具有直接影響，顯示出良好城市規劃的必要性。騎乘者特性分析顯示，性別、 年齡及 BMI 等個人差異對心率及 HRV 有顯著的影響。 綜上所述，本研究提供了有關自行車道環境中多種環境特徵對騎乘者生理與 心理反應的影響與討論，研究結果提供未來自行車道環境規劃設計和改善方向的 建議和成效追蹤，特別是在考慮騎乘者健康和福祉方面，提供了重要的參考，期 望能同時提升臺灣自行車道環境的騎行體驗，並促進騎乘者的健康效益。 | zh_TW |
| dc.description.abstract | In this study, we explored the impact of bikeway landscape features on the physiological and psychological health of cyclists. Utilizing WAHOO KICKR BIKE V2 bike trainer and various wearable devices, we examined how landscape features affect heart rate, heart rate variability, positive emotion and landscape preference during cycling.
The study reveals that the visual presence of motor vehicles, even in virtual environments, elicits physiological stress in riders. Roadway characteristics, such as straight highways and clear lane infrastructures, significantly mitigate psychological stress and enhance safety perception. Furthermore, distinct lane demarcations correlate positively with relaxation. Natural elements like mountainous vistas contribute to mental repose and stress alleviation, while greenery correlates with psychophysiological benefits. Urban design quality directly influences psychological stress mitigation, highlighting the importance of strategic urban planning. The analysis of rider characteristics indicates that gender, age, and BMI significantly affect heart rate and HRV. In conclusion, this study provides insights into the influence of various landscape features on cyclists'' health responses within bikeway. It offers evidence-based recommendations for designing, planning and improving bikeway to enhance cyclists'' experiences and healthy benefits, significantly informing future planning towards healthier, more sustainable bikeways. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-22T16:34:13Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-02-22T16:34:13Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 第一章 緒論...................................................................................................................................1
第一節 研究動機 ....................................................................................................................... 1 第二節 研究目的 ....................................................................................................................... 3 第二章 文獻回顧 .......................................................................................................................... 4 第一節 騎行與景觀感知 ........................................................................................................... 4 第二節 騎行景觀感知的影響因子..............................................................................................6 第三節 騎行與生心理效益 ..................................................................................................... 14 第三章 研究方法 .........................................................................................................................20 第一節 研究架構與假設 ......................................................................................................... 20 第二節 研究變項 ..................................................................................................................... 22 第三節 研究設計 ..................................................................................................................... 24 第四節 資料分析方法 ............................................................................................................. 31 第四章 研究結果 .........................................................................................................................36 第一節 樣本分析 ..................................................................................................................... 36 第二節 研究假設驗證 ............................................................................................................. 41 第三節 延伸討論 ..................................................................................................................... 54 第五章 結論與建議 .....................................................................................................................82 第一節 研究結論 ..................................................................................................................... 82 第二節 研究建議 ..................................................................................................................... 91 參考文獻 ......................................................................................................................................95 附錄一 自行車道景觀特徵與心率、心率變異相關分析彙整表..........................................106 附錄二 實驗招募文宣 ........................................................................................................... 110 附錄三 實驗流程圖&注意事項說明 ..................................................................................... 111 附錄四 實驗問卷 ................................................................................................................... 112 附錄五 知情同意書 ............................................................................................................... 113 附錄六 重要文獻原文摘錄 ................................................................................................... 117 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 自行車道環境特徵、健康效益、人工智能、室內騎行、穿戴式裝置 | zh_TW |
| dc.subject | Artificial intelligence | en |
| dc.subject | Bikeway landscape features | en |
| dc.subject | Wearable device | en |
| dc.subject | Indoor cycling | en |
| dc.subject | Healthy benefits | en |
| dc.title | 評估自行車道景觀特徵對騎乘者健康效益之影響 | zh_TW |
| dc.title | Assessing Impacts of Bikeway Landscape Features on Cyclist’s Healthy Benefits | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 何立智;歐聖榮;林晏州;張伯茹 | zh_TW |
| dc.contributor.oralexamcommittee | Li-Chih Ho;Sheng-Jung Ou;Yann-Jou Lin;Po-Ju Chang | en |
| dc.subject.keyword | 自行車道環境特徵、健康效益、人工智能、室內騎行、穿戴式裝置, | zh_TW |
| dc.subject.keyword | Bikeway landscape features, Healthy benefits, Artificial intelligence, Indoor cycling, Wearable device, | en |
| dc.relation.page | 130 | - |
| dc.identifier.doi | 10.6342/NTU202400237 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-01-30 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 園藝暨景觀學系 | - |
| Appears in Collections: | 園藝暨景觀學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-112-1.pdf | 13.6 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.