Davarzani, S.; Saucier, D.; Peranich, P.; Carroll, W.; Turner, A.; Parker, E.; Middleton, C.; Nguyen, P.; Robertson, P.; Smith, B.;
et al. Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies. Electronics 2020, 9, 796.
https://doi.org/10.3390/electronics9050796
AMA Style
Davarzani S, Saucier D, Peranich P, Carroll W, Turner A, Parker E, Middleton C, Nguyen P, Robertson P, Smith B,
et al. Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies. Electronics. 2020; 9(5):796.
https://doi.org/10.3390/electronics9050796
Chicago/Turabian Style
Davarzani, Samaneh, David Saucier, Preston Peranich, Will Carroll, Alana Turner, Erin Parker, Carver Middleton, Phuoc Nguyen, Preston Robertson, Brian Smith,
and et al. 2020. "Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies" Electronics 9, no. 5: 796.
https://doi.org/10.3390/electronics9050796
APA Style
Davarzani, S., Saucier, D., Peranich, P., Carroll, W., Turner, A., Parker, E., Middleton, C., Nguyen, P., Robertson, P., Smith, B., Ball, J., Burch, R., Chander, H., Knight, A., Prabhu, R., & Luczak, T.
(2020). Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies. Electronics, 9(5), 796.
https://doi.org/10.3390/electronics9050796