APA (7th ed.) Citation

Wang, C., Wang, X., Long, Z., Yuan, J., Qian, Y., & Li, J. (2017, August). Multimodal gait analysis based on wearable inertial and microphone sensors. 2017 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation (SmartWorld SCALCOM UIC ATC CBDCom IOP SCI), 1-8. https://doi.org/10.1109/UIC-ATC.2017.8397481

Chicago Style (17th ed.) Citation

Wang, Cheng, Xiangdong Wang, Zhou Long, Jing Yuan, Yueliang Qian, and Jintao Li. "Multimodal Gait Analysis Based on Wearable Inertial and Microphone Sensors." 2017 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation (SmartWorld SCALCOM UIC ATC CBDCom IOP SCI) Aug. 2017: 1-8. https://doi.org/10.1109/UIC-ATC.2017.8397481.

MLA (9th ed.) Citation

Wang, Cheng, et al. "Multimodal Gait Analysis Based on Wearable Inertial and Microphone Sensors." 2017 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation (SmartWorld SCALCOM UIC ATC CBDCom IOP SCI), Aug. 2017, pp. 1-8, https://doi.org/10.1109/UIC-ATC.2017.8397481.