Yeap, B. B. Toward healthy aging: A clinical trial builds on mechanistic insights. The journals of gerontology. Ser. A Biol. Sci. Med. Sci. 78, 73–74. (2023).
Google Scholar
Chen, X. et al. The path to healthy ageing in China: A Peking University-Lancet Commission. Lancet 400, 1967–2006. (2022).
Google Scholar
Yu, Y. Healthy ageing in urban China: Governing the ageing population. Geogr. J. 187, 28–38. (2021).
Google Scholar
Xiao, D. C. & Chung, W. Interior design of aging housing based on smart home system of IOT sensor. J. Sens. (2023).
Google Scholar
Yu, N., Ouyang, Z. & Wang, H. Study on smart home interface design characteristics considering the influence of age difference: Focusing on sliders. Front. Psychol. 13, 828545. (2022).
Google Scholar
Xiong, X., Yue, X. & Wu, Z. Current status and development trends of Chinese intelligent furniture industry. J. Renew. Mater. 11, 14. (2023).
Google Scholar
Hu, J., Wu, Z. & Jin, L. Museum display showcase furniture system research based on internet of things technology in intelligent environment. Complexity (2021).
Google Scholar
Yang, Z., Zhang, L. & Wu, Z. Research on performance evaluation of urban furniture function design based on internet of things digitization. IEEE Access 10, 72895–72906. (2022).
Google Scholar
Yu, N., Ouyang, Z., Wang, H., Tao, D. & Jing, L. The effects of smart home interface touch button design features on performance among young and senior users. Int. J. Environ. Res. Public Health 19, 2391. (2022).
Google Scholar
Sun, X. & Jin, W. Elderly’s preferences towards rehabilitation robot appearance using electroencephalogram signal. EURASIP J. Adv. Signal Process. 2021, 1–10. (2021).
Google Scholar
Zhang, S., Zhu, J., Wang, G., Reng, S. & Yan, H. Furniture online consumer experience: A literature review. BioResources 17, 1627–1642. (2022).
Google Scholar
Chen, Q. et al. Investigating the influence of age-friendly community infrastructure facilities on the health of the elderly in China. Buildings 13, 341. (2023).
Google Scholar
Champion, S. et al. Chair design for older immobile people: Comparison of pressure mapping and manual handling outcomes. Appl. Ergon. 98, 103581. (2022).
Google Scholar
Wang, Y., Lin, D. & Huang, Z. Research on the aging-friendly kitchen based on space syntax theory. Int. J. Environ. Res. Public Health 19, 5393. (2022).
Google Scholar
Jin, D. & Li, T. Research on decorative materials properties used in the production of cabinets based on visual/tactile experience. Coatings 13, 178. (2023).
Google Scholar
Liu, Y., Hu, W., Kasal, A. & Erdil, Y. Z. The state of the art of biomechanics applied in ergonomic furniture design. Appl. Sci. 74, 1430–1441. (2023).
Google Scholar
Zhu, L. & Lv, J. Review of studies on user research based on EEG and eye tracking. Appl. Sci. 13, 6502. (2023).
Google Scholar
Blasco, R., Marco, Á., Casas, R., Cirujano, D. & Picking, R. A smart kitchen for ambient assisted living. Sensors 14, 1629–1653. (2014).
Google Scholar
Kirvesoja, H., Väyrynen, S. & Häikiö, A. Three evaluations of task-surface heights in elderly people’s homes. Appl. Ergon. 31, 109–119. (2000).
Google Scholar
Câmara, J. J., Engler, R. D. & Fonseca, P. D. Analysis and ergonomics of houses for elderly people. Period. Biol. 112, 47–50 (2010).
Asghar, Z. et al. Remote assistance for elderly to find hidden objects in a kitchen. Int. Summit eHealth 3, 153065. (2017).
Google Scholar
Yared, R. & Abdulrazak, B. Adaptable context-aware cooking-safe system. IEEE Trans. Serv. Comput. 11, 236–248. (2018).
Google Scholar
Robert, K., Beata, F. & Michał, K. Analysis of human needs in kitchen design for people with visual impairment. Drv. Ind. 65, 43–50. (2014).
Google Scholar
Ficocelli, M. & Nejat, G. The design of an interactive assistive kitchen system. Assist. Technol. 24, 246–258. (2012).
Google Scholar
Yuan, M. Y., Green, J. R. & Goubran, R. Thermal imaging for assisted living at home: Improving kitchen safety. J. Med. Biol. Eng. 33, 380–387. (2013).
Google Scholar
Zubaidi, A. M. F., Sumitro, M. K. & Husna, A. Designing cutting boards sets for elderly and arthritis sufferers with quality function deployment. IOP Conf. Ser. Mater. Sci. Eng. 530, 012055. (2019).
Google Scholar
Wang, Y., Lin, D. & Huang, Z. Research on the aging-friendly kitchen based on space syntax theory. Int. J. Environ. Res. Public Health 19, 5393. (2022).
Google Scholar
Kelsheimer, H. L. & Hawkins, S. T. Older adult women find food preparation easier with specialized kitchen tools. J. Am. Diet. Assoc. 100, 950–952. (2000).
Google Scholar
Hrovatin, J., Širok, K., Jevšnik, S., Oblak, L. & Berginc, J. Adaptability of kitchen furniture for elderly people in terms of safety. Dev. Ind. 63, 113–120. (2012).
Google Scholar
Schulz, R. et al. Willingness to pay for quality of life technologies to enhance independent functioning among baby boomers and the elderly adults. Gerontologist. 54, 363–374. (2014).
Google Scholar
Kang, K. & Lee, K. Application of universal design in the design of apartment kitchens. J. Asian Archit. Build. Eng. 15, 403–410. (2016).
Google Scholar
Yang, Z., Tsui, B. & Wu, Z. Assessment system for child head injury from falls based on neural network learning. Sensors 23, 7896. (2023).
Google Scholar
Chao, Y., Liu, T. & Shen, L. Method of recognizing sleep postures based on air pressure sensor and convolutional neural network: For an air spring mattress. Eng. Appl. Artif. Intell. 121, 106009. (2023).
Google Scholar
Fabisiak, B. & Kłos, R. Comparative analysis of difficulty of activities performed in kitchen by people aged 40–60 and over 60 years with visual impairment in the context of furniture design. Annals of Warsaw University of Life Sciences—SGGW. For. Wood Technol. 77, 216–221 (2012).
Ibrahim, N. I. & Davies, S. Aging: physical difficulties and safety in cooking tasks. Work 41, 5152–5159. (2012).
Google Scholar
Yu, N., Hong, L. & Guo, J. Analysis of upper-limb muscle fatigue in the process of rotary handling. Int. J. Ind. Ergon. 83, 103109. (2021).
Google Scholar
Ji, J. & Jin, H. Study on multi-effect time parameters of ergonomic validity index in low-carbon residential kitchen. J. Harbin Inst. Technol. 21, 52–58. (2014).
Google Scholar
Subramaniam, S., Murugesan, S. & Jayaraman, S. Assessment of shoulder and low back muscle activity of male kitchen workers using surface electromyography. Int. J. Occup. Med. Environ. Health 31, 81–90. (2017).
Google Scholar
Wu, F. G., Sun, H. H. & Lin, Y. C. Innovative aid design of moving kitchenware for elders. Proced. Manuf. 3, 6266–6273. (2015).
Google Scholar
Greene, R. L., Azari, D., Hu, Y. & Radwin, R. Visualizing stressful aspects of repetitive motion tasks and opportunities for ergonomic improvements using computer vision. Appl. Ergon. 65, 461–472. (2017).
Google Scholar
Fernández, M. M., Fernández, J. Á., Bajo, J. M. & Delrieux, C. Ergonomic risk assessment based on computer vision and machine learning. Comput. Indus. Eng. 149, 106816. (2020).
Google Scholar
Kunz, M., Shu, C., Picard, M., Vera, D., Hopkinson, P. & Xi, P. Vision-based ergonomic and fatigue analyses for advanced manufacturing. 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS). 01–07. (2022).
Egeonu, D. & Jia, B. A systematic literature review of computer vision-based biomechanical models for physical workload estimation. Ergonomics. (2024).
Google Scholar
Holzmann, P. ARBAN—A new method for analysis of ergonomic effort. Appl. Ergon. 13, 82–86. (1982).
Google Scholar
McAtamney, L. & Corlett, E. N. RULA: A survey method for the investigation of work-related upper limb disorders. Appl. Ergon. 24, 91–99. (1993).
Google Scholar
Chyuan, J. Y. Ergonomic assessment of musculoskeletal discomfort among commissary foodservice workers in Taiwan. J. Foodserv. Bus. Res. 10, 73–86. (2007).
Google Scholar
Bhatia, A. & Singla, S. Ergonomic evaluation and customized design of kitchen. Int. J. Innov. Technol. Explor. Eng. 8, 1033–1039. (2019).
Google Scholar
Joshi, M. & Deshpande, V. M. Investigative study and sensitivity analysis of Rapid Entire Body Assessment (REBA). Int. J. Ind. Ergon. 79, 103004. (2020).
Google Scholar
Karelia, B. J., Rathod, D. & Kumar, A. Assessment of posture related musculoskeletal risk levels in restaurant chefs using rapid entire body assessment (REBA). Int. J. Health Sci. Res. 11, 333–9. (2021).
Google Scholar
Ma, J., Lei, H. & Chen, M. Fall behaviour detection algorithm for the elderly based on AlphaPose optimization model. J. Comput. Appl. 42, 294–301. (2022).
Google Scholar
Lou, S. Z., You, J. Y., Tsai, Y. C. & Chen, Y. C. Effects of different assistive seats on ability of elderly in sit-to-stand and back-to-sit movements. Healthcare 9, 485. (2021).
Google Scholar
Wang, Y., Lin, D. & Huang, Z. Research on the aging-friendly kitchen based on space syntax theory. Int. J. Environ. Res. Public Health 19, 5393. (2022).
Google Scholar
Ma, C., Guerra-Santin, O. & Mohammadi, M. Smart home modification design strategies for ageing in place: A systematic review. J. Hous. Built Environ. 37, 625–651. (2022).
Google Scholar
Wolf, P., Hennes, N., Rausch, J. & Potthast, W. The effects of stature, age, gender, and posture preferences on preferred joint angles after real driving. Appl. Ergon. 100, 103671. .2021.103671 (2022).
Google Scholar
Yazdanirad, S., Pourtaghi, G., Raei, M. & Ghasemi, M. Development of modified rapid entire body assessment (MOREBA) method for predicting the risk of musculoskeletal disorders in the workplaces. BMC Musculoskelet. Disord. 23, 82. (2022).
Google Scholar
Kee, D. Systematic comparison of OWAS, RULA, and REBA based on a literature review. Int. J. Environ. Res. Public Health 19, 595. (2022).
Google Scholar
Akbar, T. M., Nugraha, A. E. & Cahyanto, W. E. Analisis postur tubuh pekerja di pabrik roti riza bakery menggunakan metode rapid entire body assessment (REBA). J. Integr. Syst. 6, 32–41. (2023).
Google Scholar
Fang, J. J. & Shen, L. M. Analysis of sagittal spinal alignment at the adolescent age: For furniture design. Ergonomics 66, 1477–1493. (2023).
Google Scholar
Wibowo, A. H. & Mawadati, A. The analysis of employees’ work posture by using rapid entire body assessment (REBA) and rapid upper limb assessment (RULA). IOP Conf. Ser.Earth Environ. Sci. 704, 012022. (2021).
Google Scholar
Farahmand, B. et al. Ergonomic evaluation of working conditions in Orthotists and Prosthetists by Rapid entire body assessment (REBA). Funct. Disabil. J. 3, 169–178. (2020).
Google Scholar
Kusuma, T. Y. T. Analysis of body posture using Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA) to improve the posture of sand paper machine operators and reduce the risk of low back pain. Biol. Med. Nat. Prod. Chem. 9, 21–25. (2020).
Google Scholar
Joshi, M. & Deshpande, V. Study of association between OWAS, REBA and RULA with perceived exertion rating for establishing applicability. Theor. Issues Ergon. Sci. 23, 313–332. (2022).
Google Scholar
Cai, Y., Leveille, S. G., Shi, L., Chen, P. & You, T. Chronic pain and circumstances of falls in community-living older adults: An exploratory study. Age Ageing 51, afab261. (2022).
Google Scholar
Ravensbergen, W. M. et al. Declining daily functioning as a prelude to a hip fracture in older persons-an individual patient data meta-analysis. Age Ageing 51, afab253. (2022).
Google Scholar
Sotos-Prieto, M. et al. Association between a lifestyle-based healthy heart score and risk of frailty in older women: A cohort study. Age Ageing 51, afab268. (2022).
Google Scholar
Goyal, A. K. & Mohanty, S. K. Association of pain and quality of life among middle-aged and older adults of India. BMC geriatrics. 22, 939. (2022).
Google Scholar
Enez, K. & Nalbantoğlu, S. S. Comparison of ergonomic risk assessment outputs from OWAS and REBA in forestry timber harvesting. Int. J. Indus. Ergon. 70, 51–57. (2019).
Google Scholar
Julianus, H. Work posture analysis by using rapid upper limb assessment (RULA) and rapid entire body assessment (REBA) methods (Case Study: Rice Milling In Malang-East Java of Indonesia). IOP Conf. Ser. Earth Environ. Sci. 469, 012012. (2019).
Google Scholar
Schwartz, A. H., Albin, T. J. & Gerberich, S. G. Intra-rater and inter-rater reliability of the rapid entire body assessment (REBA) tool. Int. J. Indus. Ergon. 71, 111–116. (2019).
Google Scholar
Lim, Y. P., Lin, Y. C. & Pandy, M. G. Lower-limb muscle function in healthy young and older adults across a range of walking speeds. Gait Posture 94, 124–130. (2022).
Google Scholar
Parker, S. M., Crenshaw, J., Hunt, N. H., Burcal, C. & Knarr, B. A. Outdoor walking exhibits peak ankle and knee flexion differences compared to fixed and adaptive-speed treadmills in older adults. Biomed. Eng. Online 20, 104. (2021).
Google Scholar
Li, Q., He, F., Wang, T., Zhou, L. & Xi, S. Human pose estimation by exploiting spatial and temporal constraints in body-part configurations. IEEE Access 5, 443–454. (2017).
Google Scholar
Beliveau, P. J., Johnston, H., Van Eerd, D. & Fischer, S. L. Musculoskeletal disorder risk assessment tool use: A Canadian perspective. Appl. Ergon. 102, 103740. .2022.103740 (2022).
Google Scholar
Takeda, M., Hirata, Y., Katayama, T., Mizuta, Y. & Koujina, A. State estimation using the CoG candidates for sit-to-stand support system user. IEEE Robot. Autom. Lett. 3, 3011–3018. (2018).
Google Scholar
Lowe, B. D., Dempsey, P. G. & Jones, E. M. Ergonomics assessment methods used by ergonomics professionals. Appl. Ergon. 81, 102882. .2019.102882 (2019).
Google Scholar
Wang, C., Zhang, F. & Ge, S. S. A comprehensive survey on 2D multi-person pose estimation methods. Eng. Appl. Artif. Intell. 102, 104260. (2021).
Google Scholar
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