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A pragmatic signal processing approach for nurse care activ..:
, In:
Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
,
Faisal, Md. Ahasan Atick
;
Siraj, Md. Sadman
;
Abdullah, Md. Tahmeed
... - p. 396-401 , 2020
Link:
https://dl.acm.org/doi/10.1145/3410530.3414337
RT T1
Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
: T1
A pragmatic signal processing approach for nurse care activity recognition using classical machine learning
UL https://suche.suub.uni-bremen.de/peid=acm-3414337&Exemplar=1&LAN=DE A1 Faisal, Md. Ahasan Atick A1 Siraj, Md. Sadman A1 Abdullah, Md. Tahmeed A1 Shahid, Omar A1 Abir, Farhan Fuad A1 Ahad, M. A. R. PB ACM YR 2020 K1 accelerometer K1 activity recognition K1 nurse care K1 smart hospital SP 396 OP 401 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3410530.3414337 DO https://dl.acm.org/doi/10.1145/3410530.3414337 SF ELIB - SuUB Bremen
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