Binarized neural network for edge intelligence of sensor-based human activity recognition

10.4108/icst.pervasivehealth.2015.259044

10.3390/s140711735

10.1109/JETCAS.2017.2789278

Gokturk, 2008, Gesture recognition system using depth perceptive sensors

10.1109/JSEN.2019.2892073

10.1109/HONET.2019.8908040

10.1109/WMVC.2008.4544065

10.1109/ICC.2019.8761484

10.1109/JIOT.2020.2984887

10.1109/JPROC.2019.2918951

10.3390/app7010110

10.1109/JSEN.2019.2917375

10.1109/JIOT.2020.2984544

10.1109/JIOT.2019.2920283

10.1109/ICDCS.2019.00182

10.1007/s10462-020-09816-7

10.1007/978-3-319-46493-0_32

Bethge, 2020, MeliusNet: Can binary neural networks achieve mobilenet-level accuracy?

Howard, 2017, MobileNets: Efficient convolutional neural networks for mobile vision applications

10.1007/978-3-030-01267-0_44

10.1109/SURV.2012.110112.00192

10.1016/j.patrec.2012.12.014

10.3390/app7101101

Anguita, A public domain dataset for human activity recognition using smartphones, Proc. Eur. Symp. Artif. Neural Netw. Comput. Intell. Mach. Learn., 3

10.1016/j.patrec.2018.02.010

10.1109/TSMCC.2012.2198883

10.1049/pbra034e

10.1109/JIOT.2015.2511805

10.1145/2789168.2790093

10.1109/WH.2016.7764572

10.1007/978-3-319-66808-6_18

10.2991/icaita-16.2016.13

10.1155/2018/7316954

10.1109/JBHI.2016.2636456

10.1145/3266157.3266221

10.1007/s12652-020-02526-6

10.1109/CVPR.2019.01271

Lueth, 2018, State of the IoT 2018: Number of IoT devices now at 7B–market accelerating

2019, IoT connections outlook: NB-IoT and Cat-M technologies will account for close to 45 percent of cellular IoT connections in 2024

10.1109/MC.2016.145

10.1109/HotWeb.2015.22

10.21236/ADA591470

Hubara, Binarized neural networks, Proc. Int. Conf. Neural Inf. Process. Syst., 4107

10.1109/ICCV.2017.282

10.1109/CVPR42600.2020.00232

Bethge, 2019, Back to simplicity: How to train accurate BNNs from scratch?

10.1109/5.554205

10.1145/3267305.3267517

10.1111/aor.13153

10.1109/ICETET.2009.112

10.1016/j.patcog.2020.107281

10.1109/CVPR.2017.243

10.1007/978-3-642-75988-8_28

Kingma, 2014, Adam: A method for stochastic optimization, Comput. Sci., 273

10.1109/SEC.2018.00038

10.1109/MCOM.2018.1701231

10.1109/ICC.2018.8422970

10.1109/CCOMS.2019.8821638

10.1109/JSEN.2020.2978772

10.1016/j.asoc.2017.09.027

Arigbabu, 2020, Entropy decision fusion for smartphone sensor based human activity recognition

10.3390/info10060203

10.1007/s00521-018-03973-1

10.5594/M001370