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Masamichi Shimosaka
Masamichi Shimosaka
Associate Professor, Department of Computer Science, Tokyo Institute of Technology
Verified email at miubiq.cs.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
Steered crowdsensing: Incentive design towards quality-oriented place-centric crowdsensing
R Kawajiri, M Shimosaka, H Kashima
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
1362014
Hand shape classification with a wrist contour sensor: development of a prototype device
R Fukui, M Watanabe, T Gyota, M Shimosaka, T Sato
Proceedings of the 13th international conference on Ubiquitous computing …, 2011
782011
Hierarchical recognition of daily human actions based on continuous hidden markov models
T Mori, Y Segawa, M Shimosaka, T Sato
Sixth IEEE International Conference on Automatic Face and Gesture …, 2004
742004
Forecasting urban dynamics with mobility logs by bilinear Poisson regression
M Shimosaka, K Maeda, T Tsukiji, K Tsubouchi
Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015
642015
Grasping by caging: A promising tool to deal with uncertainty
W Wan, R Fukui, M Shimosaka, T Sato, Y Kuniyoshi
2012 IEEE International Conference on Robotics and Automation, 5142-5149, 2012
512012
Typical behavior patterns extraction and anomaly detection algorithm based on accumulated home sensor data
T Mori, A Fujii, M Shimosaka, H Noguchi, T Sato
Future generation communication and networking (FGCN 2007) 2, 12-18, 2007
492007
Cityprophet: City-scale irregularity prediction using transit app logs
T Konishi, M Maruyama, K Tsubouchi, M Shimosaka
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
482016
Predicting driving behavior using inverse reinforcement learning with multiple reward functions towards environmental diversity
M Shimosaka, K Nishi, J Sato, H Kataoka
2015 IEEE Intelligent Vehicles Symposium (IV), 567-572, 2015
472015
Modeling risk anticipation and defensive driving on residential roads with inverse reinforcement learning
M Shimosaka, T Kaneko, K Nishi
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
392014
Anomaly detection algorithm based on life pattern extraction from accumulated pyroelectric sensor data
T Mori, R Urushibata, M Shimosaka, H Noguchi, T Sato
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
312008
Hand shape classification in various pronation angles using a wearable wrist contour sensor
R Fukui, M Watanabe, M Shimosaka, T Sato
Advanced Robotics 29 (1), 3-11, 2015
282015
Online recognition and segmentation for time-series motion with hmm and conceptual relation of actions
T Mori, Y Nejigane, M Shimosaka, Y Segawa, T Harada, T Sato
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005
282005
A new “grasping by caging” solution by using eigen-shapes and space mapping
W Wan, R Fukui, M Shimosaka, T Sato, Y Kuniyoshi
2013 IEEE International Conference on Robotics and Automation, 1566-1573, 2013
272013
Cooperative manipulation with least number of robots via robust caging
W Wan, R Fukui, M Shimosaka, T Sato, Y Kuniyoshi
2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2012
272012
Working-relationship detection from fitbit sensor data
K Tsubouchi, R Kawajiri, M Shimosaka
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013
252013
ICS action database
T Mori
http://www. ics. tu-tokyo. ac. jp/action/, 2004
252004
Early destination prediction with spatio-temporal user behavior patterns
R Imai, K Tsubouchi, T Konishi, M Shimosaka
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
242018
A unified framework for modeling and predicting going-out behavior
S Tominaga, M Shimosaka, R Fukui, T Sato
Pervasive Computing: 10th International Conference, Pervasive 2012 …, 2012
242012
Fast online human pose estimation via 3D voxel data
Y Sagawa, M Shimosaka, T Mori, T Sato
Journal of the Robotics Society of Japan 26 (8), 913-924, 2008
242008
Moving objects detection and classification based on trajectories of LRF scan data on a grid map
T Mori, T Sato, H Noguchi, M Shimosaka, R Fukui, T Sato
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
232010
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