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Detection of Road Damage using Signals of Smartphone-Embedded Accelerometer while Cycling.

, , , , and . IWWISS, page 20:1-20:2. ACM, (2014)

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Workplace Stress Estimation from Physiological Indices in Real Situation., , , , and . MindCare, volume 100 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 13-22. Springer, (2014)Accurate road damage classification based on real signal mother wavelet of acceleration signal., , , and . SII, page 900-905. IEEE, (2015)Relation Between Blood Pressure Estimated by Pulse Wave Velocity and Directly Measured Arterial Pressure., , , , , , , , , and . JRM, 24 (5): 811-819 (2012)A Method to Detect Accurately Falling Asleep and Awakening Time., , and . MobiQuitous (Adjunct Proceedings), page 47-52. ACM, (2016)Robust classification of eating sound collected in natural meal environment., , , , and . UbiComp/ISWC Adjunct, page 105-108. ACM, (2019)Mastication Counting Method Robust to Food Type and Individual., , , , and . HEALTHINF, page 374-377. SciTePress, (2012)Can Sequence Mining Improve Your Morning Mood? Toward a Precise Non-invasive Smart Clock., , , and . IWWISS, page 4:1-4:10. ACM, (2014)Smartphone Application Usage Prediction Using Cellular Network Traffic., , , , and . PerCom Workshops, page 753-758. IEEE Computer Society, (2018)New healthcare society supported by wearable sensors and information mapping-based services., , and . IJNVO, 9 (3): 233-247 (2011)PQRS: Prediction of Applications Based on Cellular Network Traffic with Consideration of SNS Notification., , , , , , , and . UbiComp/ISWC Adjunct, page 50-53. ACM, (2018)