BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Fu J, Jones M, Liu T, Hao W, Yan Y, Qian G, Jan YK. A novel mobile-cloud system for capturing and analyzing wheelchair maneuvering data: A pilot study. Assist Technol 2016;28:105-14. [PMID: 26479684 DOI: 10.1080/10400435.2015.1095810] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Fu J, Zhang S, Wang H, Zhao YD, Qian G. A Novel Mobile Device-Based Approach to Quantitative Mobility Measurements for Power Wheelchair Users. Sensors (Basel) 2021;21:8275. [PMID: 34960371 DOI: 10.3390/s21248275] [Reference Citation Analysis]
2 Marco-Ahulló A, Montesinos-Magraner L, Gonzalez LM, Llorens R, Segura-Navarro X, García-Massó X. Validation of Using Smartphone Built-In Accelerometers to Estimate the Active Energy Expenditures of Full-Time Manual Wheelchair Users with Spinal Cord Injury. Sensors (Basel) 2021;21:1498. [PMID: 33671481 DOI: 10.3390/s21041498] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
3 de Mello RC, Jimenez MF, Ribeiro MRN, Laiola Guimarães R, Frizera-neto A. On Human-in-the-Loop CPS in Healthcare: A Cloud-Enabled Mobility Assistance Service. Robotica 2019;37:1477-93. [DOI: 10.1017/s0263574719000079] [Cited by in Crossref: 7] [Article Influence: 2.3] [Reference Citation Analysis]
4 Nightingale TE, Rouse PC, Thompson D, Bilzon JLJ. Measurement of Physical Activity and Energy Expenditure in Wheelchair Users: Methods, Considerations and Future Directions. Sports Med Open 2017;3:10. [PMID: 28251597 DOI: 10.1186/s40798-017-0077-0] [Cited by in Crossref: 21] [Cited by in F6Publishing: 28] [Article Influence: 4.2] [Reference Citation Analysis]