Finally, we put the final feature
vector into the SVM that
implements o-v-o strategy to classify and predict.
At present, we have implemented a laboratory demo of the
smart crib and proposed a design of the smart crib system. As
future work, we will perform additional experiments using
larger datasets, which would also allow the application of more
sophisticated methodsq.
A
CKNOWLEDGMENT
This research was supported by the National Natural Science
Foundation of China (Grant No. 61202085), and the
fundamental research funds for the central university (Grant No.
N161704003).
R
EFERENCES
[1]
T. G. Dietterich and E. J. Horvitz. “Rise of concerns about AI: Reflections
and directions
,”
Communications of the ACM
, vol. 58, pp. 38-40, 2015.
[2]
B. L. R. Stojkoska and K. V. Trivodaliev. ”A review of Internet of Things
for smart home:
Challenges and solutions
”,
Journal of Cleaner
Production
, 140(3):1454-1464, 2017.
[3]
A. D. Floarea and V. Sgarciu. "Smart refrigerator: A next generation
refrigerator connected to the IoT," In 2016 8th International Conference
on Electronics, Computers and Artificial Intelligence, Ploiesti, pp. 19-24,
2016.
[4]
“SNOO-Happiest baby,”
Happiest Baby, 2018. [Online]. Available:
https://www.happiestbaby.com/pages/snoo. [Accessed 12 4 2018].
[5]
S. Sharma and M. Tomar.
Principles Of Growth And Development, p.
128, Isha Books, 2005.
[6]
A. P. Shahnawaz, "Sentiment analysis: approaches and open issues". In
2017 International Conference on Computing, Communication and
Automation (ICCCA), pp.154-158, 2017.
[7]
C. Severance. "Eben Upton:
Raspberry Pi," Computer, 46(10):14-16,
2013.
[8]
"MySQL," [Online]. Available: https://www.mysql.com/. [Accessed 12
04 2018].
[9]
C. Wilson, T. Hargreaves, and R. Hauxwell-Baldwin. “Smart Homes and
their users: A systematic analysis and key challenges
”.
Personal and
Ubiquitous Computing
, 19(2):463-476, 2015.
[10]
Y.
Abdulaziz, S. M. Syed Ahmad. “Infant cry recognition system: A
comparison of system performance based on Mel frequency and linear
prediction cepstral coefficients," In Proceedings of the 2010 international
conference on information retrieval and knowledge management, pp.
260-263, 2010.
[11]
A. Poornima. “Basic Characteristics of Speech Signal Analysis”
International Journal of Innovative Research & Development, 5(4):
169-
173, 2016.
[12]
P. Pudil, F. J. Ferri, J. Novovicova, and J. Kittler, J. “Floating
search
methods for feature selection with nonmonotonic criterion functions
”.
Pattern Recognition, 2, 279
–283, 1994.
[13]
W. J. Chen, H. Guo, R.A. Renaut, and K. Chen. "A new SVM model for
classifying genetic data," In 2010 International Conference on
Bioinformatics,
Computational
Biology,
Genomics
and
Chemoinformatics (BCBGC-10), pp.54-60, 2010.
[14]
K. Gaunt, J. Nacsa, and M. Penz. “Baby lucent:
Pitfalls of applying
quantified self to baby products
”. In CHI EA’14, pp. 263-268, 2014.