메뉴 건너뛰기




Volumn , Issue , 2015, Pages 897-908

Calibration-free fusion of step counter and wireless fingerprints for indoor localization

Author keywords

Device RSSI dependency; Fingerprinting; Fusion.; Indoor localization; Joint Optimization; Step counter Calibration

Indexed keywords

CALIBRATION; FUSION REACTIONS; INDOOR POSITIONING SYSTEMS; LOCATION;

EID: 84960856680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2750858.2804254     Document Type: Conference Paper
Times cited : (30)

References (53)
  • 1
    • 85027084816 scopus 로고    scopus 로고
    • ABI Research 2015 May
    • ABI Research 2015. Location Technologies Market Research. (May 2015). https://www.abiresearch.com/market-research/service/location-Technologies/.
    • (2015) Location Technologies Market Research
  • 2
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • M. Sanjeev Arulampalam, Simon Maskell, Neil Gordon, and Tim Clapp. 2002. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Processing 50, 2 (2002), 174-188.
    • (2002) IEEE Trans. Signal Processing 50 , vol.2 , Issue.2002 , pp. 174-188
    • Sanjeev, A.M.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 3
    • 0033872896 scopus 로고    scopus 로고
    • RADAR: An in-building RF-based user location and tracking system
    • IEEE, Washington DC, USA
    • Paramvir Bahl and Venkata N. Padmanabhan. 2000. RADAR: An in-building RF-based user location and tracking system. In Proc. INFOCOM, Vol. 2. IEEE, Washington, DC, USA, 775-784.
    • (2000) Proc. INFOCOM , vol.2 , pp. 775-784
    • Bahl, P.1    Padmanabhan, V.N.2
  • 5
    • 84885227197 scopus 로고    scopus 로고
    • Walk detection and step counting on unconstrained smartphones
    • ACM, New York, NY, USA
    • Agata Brajdic and Robert Harle. 2013. Walk detection and step counting on unconstrained smartphones. In Proc. UbiComp. ACM, New York, NY, USA, 225-234.
    • (2013) Proc. UbiComp , pp. 225-234
    • Brajdic, A.1    Harle, R.2
  • 6
    • 84896831933 scopus 로고    scopus 로고
    • Homogeneous features utilization to address the device heterogeneity problem in fingerprint localization
    • April 2014
    • Lyu-Han Chen, E.H.-K. Wu, Ming-Hui Jin, and Gen-Huey Chen. 2014. Homogeneous features utilization to address the device heterogeneity problem in fingerprint localization. IEEE Sensors Journal 14, 4 (April 2014), 998-1005.
    • (2014) IEEE Sensors Journal , vol.14 , Issue.4 , pp. 998-1005
    • Chen, L.1    Wu, E.H.-K.2    Jin, M.3    Chen, G.4
  • 7
    • 84867888352 scopus 로고    scopus 로고
    • Received-signal-strength-based indoor positioning using compressive sensing
    • Dec
    • Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, and Zhenhui Tan. 2012. Received-signal-strength-based indoor positioning using compressive sensing. IEEE Trans. Mobile Computing 11, 12 (Dec. 2012), 1983-1993.
    • (2012) IEEE Trans. Mobile Computing 2012 , vol.11 , Issue.12 , pp. 1983-1993
    • Feng, C.1    Sy Anthea Au, W.2    Valaee, S.3    Tan, Z.4
  • 8
    • 84880865323 scopus 로고    scopus 로고
    • WiFi-SLAM using Gaussian process latent variable models
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • Brian Ferris, Dieter Fox, and Neil D Lawrence. 2007. WiFi-SLAM using Gaussian process latent variable models. In IJCAI, Vol. 7. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2480-2485.
    • (2007) IJCAI , vol.7 , pp. 2480-2485
    • Ferris, B.1    Fox, D.2    Lawrence, N.D.3
  • 11
    • 84960866892 scopus 로고    scopus 로고
    • WiGEM: A learning-based approach for indoor localization
    • ACM, New York, NY, USA, Article 3
    • Abhishek Goswami, Luis E. Ortiz, and Samir R. Das. 2011. WiGEM: A learning-based approach for indoor localization. In Proc. CoNext. ACM, New York, NY, USA, Article 3, 12 pages.
    • (2011) Proc. CoNext , pp. 12
    • Goswami, A.1    Ortiz, L.E.2    Das, S.R.3
  • 12
    • 84908086550 scopus 로고    scopus 로고
    • MODLoc: Localizing multiple objects in dynamic indoor environment
    • Nov
    • Xiaonan Guo, Dian Zhang, Kaishun Wu, and L.M. Ni. 2014. MODLoc: Localizing multiple objects in dynamic indoor environment. IEEE Trans. Parallel and Distributed Systems 25, 11 (Nov. 2014), 2969-2980.
    • (2014) IEEE Trans. Parallel and Distributed Systems 2014 , vol.25 , Issue.11 , pp. 2969-2980
    • Guo, X.1    Zhang, D.2    Wu, K.3    Ni, L.M.4
  • 13
    • 84901477277 scopus 로고    scopus 로고
    • Building a practical Wi-Fi-based indoor navigation system
    • Dongsoo Han, Sukhoon Jung, Minkyu Lee, and Giwan Yoon. 2014. Building a practical Wi-Fi-based indoor navigation system. IEEE Pervasive Computing 13, 2 (2014), 72-79.
    • (2014) IEEE Pervasive Computing 2014 , vol.13 , Issue.2 , pp. 72-79
    • Han, D.1    Jung, S.2    Lee, M.3    Yoon, G.4
  • 14
    • 84881312461 scopus 로고    scopus 로고
    • A survey of indoor inertial positioning systems for pedestrians
    • Third
    • Robert Harle. 2013. A Survey of Indoor Inertial Positioning Systems for Pedestrians. IEEE Communications Surveys and Tutorials 15, 3 (Third 2013), 1281-1293.
    • (2013) IEEE Communications Surveys and Tutorials 2013 , vol.15 , Issue.3 , pp. 1281-1293
    • Harle, R.1
  • 15
    • 84906997429 scopus 로고    scopus 로고
    • Sectjunction: Wi-Fi indoor localization based on junction of signal sectors
    • IEEE, Washington DC, USA
    • Suining He and S.-H. Gary Chan. 2014. Sectjunction: Wi-Fi indoor localization based on junction of signal sectors. In Proc. ICC. IEEE, Washington, DC, USA, 2605-2610.
    • (2014) Proc ICC , pp. 2605-2610
    • He, S.1    Gary Chan, S.-H.2
  • 17
    • 84954214524 scopus 로고    scopus 로고
    • Fusing noisy fingerprints with distance bounds for indoor localization
    • IEEE, Washington, DC, USA
    • Suining He, S.-H. Gary Chan, Lei Yu, and Ning Liu. 2015. Fusing noisy fingerprints with distance bounds for indoor localization. In Proc. INFOCOM. IEEE, Washington, DC, USA, 2506-2514.
    • (2015) Proc. INFOCOM , pp. 2506-2514
    • He, S.1    Gary Chan, S.-H.2    Yu, L.3    Liu, N.4
  • 18
    • 84908569022 scopus 로고    scopus 로고
    • Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning
    • ACM, New York, NY, USA
    • Sebastian Hilsenbeck, Dmytro Bobkov, Georg Schroth, Robert Huitl, and Eckehard Steinbach. 2014. Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning. In Proc. UbiComp. ACM, New York, NY, USA, 147-158.
    • (2014) Proc. UbiComp , pp. 147-158
    • Hilsenbeck, S.1    Bobkov, D.2    Schroth, G.3    Huitl, R.4    Steinbach, E.5
  • 19
    • 78650739066 scopus 로고    scopus 로고
    • Indoor location fingerprinting with heterogeneous clients
    • Mikkel Baun Kjargaard. 2011. Indoor location fingerprinting with heterogeneous clients. Pervasive and Mobile Computing 7, 1 (2011), 31-43.
    • (2011) Pervasive and Mobile Computing 2011 , vol.7 , Issue.1 , pp. 31-43
    • Baun Kjargaard, M.1
  • 21
    • 84902162696 scopus 로고    scopus 로고
    • Crowdsourced indoor localization for diverse devices through radiomap fusion
    • IEEE, Washington, DC, USA
    • C. Laoudias, D. Zeinalipour-Yazti, and C.G. Panayiotou. 2013. Crowdsourced indoor localization for diverse devices through radiomap fusion. In Proc. IPIN. IEEE, Washington, DC, USA, 1-7.
    • (2013) Proc. IPIN , pp. 1-7
    • Laoudias, C.1    Zeinalipour-Yazti, D.2    Panayiotou, C.G.3
  • 22
    • 84867484578 scopus 로고    scopus 로고
    • A reliable and accurate indoor localization method using phone inertial sensors
    • ACM, New York, NY, USA
    • Fan Li, Chunshui Zhao, Guanzhong Ding, Jian Gong, Chenxing Liu, and Feng Zhao. 2012. A reliable and accurate indoor localization method using phone inertial sensors. In Proc. UbiComp. ACM, New York, NY, USA, 421-430.
    • (2012) Proc. UbiComp , pp. 421-430
    • Li, F.1    Zhao, C.2    Ding, G.3    Gong, J.4    Liu, C.5    Zhao, F.6
  • 23
    • 84907816846 scopus 로고    scopus 로고
    • Experiencing and handling the diversity in data density and environmental locality in an indoor positioning service
    • ACM, New York, NY, USA
    • Liqun Li, Guobin Shen, Chunshui Zhao, Thomas Moscibroda, Jyh-Han Lin, and Feng Zhao. 2014. Experiencing and handling the diversity in data density and environmental locality in an indoor positioning service. In Proc. MobiCom. ACM, New York, NY, USA, 459-470.
    • (2014) Proc. MobiCom , pp. 459-470
    • Li, L.1    Shen, G.2    Zhao, C.3    Moscibroda, T.4    Lin, J.5    Zhao, F.6
  • 24
    • 36248934122 scopus 로고    scopus 로고
    • Survey of wireless indoor positioning techniques and systems
    • 2007
    • Hui Liu, Houshang Darabi, Pat Banerjee, and Jing Liu. 2007. Survey of wireless indoor positioning techniques and systems. IEEE Trans. Systems, Man, and Cybernetics 37, 6 (2007), 1067-1080.
    • (2007) IEEE Trans. Systems, Man, and Cybernetics , vol.37 , Issue.6 , pp. 1067-1080
    • Liu, H.1    Darabi, H.2    Banerjee, P.3    Liu, J.4
  • 25
    • 84949485061 scopus 로고    scopus 로고
    • A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned
    • ACM, New York, NY, USA
    • Dimitrios Lymberopoulos, Jie Liu, Xue Yang, Romit Roy Choudhury, Vlado Handziski, and Souvik Sen. 2015. A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned. In Proc. IPSN. ACM, New York, NY, USA, 178-189.
    • (2015) Proc. IPSN , pp. 178-189
    • Lymberopoulos, D.1    Liu, J.2    Yang, X.3    Roy Choudhury, R.4    Handziski, V.5    Sen, S.6
  • 26
    • 84870454418 scopus 로고    scopus 로고
    • SSD: A robust RF location fingerprint addressing mobile devices heterogeneity
    • Jan 2013
    • A.K.M. Mahtab Hossain, Yunye Jin, Wee-Seng Soh, and Hien Nguyen Van. 2013. SSD: A robust RF location fingerprint addressing mobile devices heterogeneity. IEEE Trans. Mobile Computing 12, 1 (Jan. 2013), 65-77.
    • (2013) IEEE Trans. Mobile Computing , vol.12 , Issue.1 , pp. 65-77
    • Mahtab Hossain, A.K.M.1    Jin, Y.2    Soh, W.3    Van, H.N.4
  • 27
    • 84880088344 scopus 로고    scopus 로고
    • CLIPS: Infrastructure-free collaborative indoor positioning scheme for time-critical team operations
    • IEEE, Washington DC, USA
    • Youngtae Noh, Hirozumi Yamaguchi, Uichin Lee, Prema Vij, Joshua Joy, and Mario Gerla. 2013. CLIPS: Infrastructure-free collaborative indoor positioning scheme for time-critical team operations. In Proc. PerCom, Vol. 18. IEEE, Washington, DC, USA, 172-178.
    • (2013) Proc. PerCom , vol.18 , pp. 172-178
    • Noh, Y.1    Yamaguchi, H.2    Lee, U.3    Vij, P.4    Joy, J.5    Gerla, M.6
  • 28
    • 79960885540 scopus 로고    scopus 로고
    • Implications of device diversity for organic localization
    • IEEE, Washington, DC, USA
    • Jun-geun Park, Dorothy Curtis, Seth Teller, and Jonathan Ledlie. 2011. Implications of device diversity for organic localization. In Proc. INFOCOM. IEEE, Washington, DC, USA, 3182-3190.
    • (2011) Proc. INFOCOM , pp. 3182-3190
    • Park, J.1    Curtis, D.2    Teller, S.3    Ledlie, J.4
  • 30
    • 84866594899 scopus 로고    scopus 로고
    • Zee: Zero-effort crowdsourcing for indoor localization
    • ACM, New York, NY, USA
    • Anshul Rai, Krishna Kant Chintalapudi, Venkata N. Padmanabhan, and Rijurekha Sen. 2012. Zee: Zero-effort crowdsourcing for indoor localization. In Proc. MobiCom. ACM, New York, NY, USA, 293-304.
    • (2012) Proc. MobiCom , pp. 293-304
    • Rai, A.1    Kant Chintalapudi, K.2    Padmanabhan, V.N.3    Sen, R.4
  • 31
    • 79952392473 scopus 로고    scopus 로고
    • A hidden Markov model for urban navigation based on fingerprinting and pedestrian dead reckoning
    • Washington, DC, USA
    • Jochen Seitz, Thorsten Vaupel, Jasper Jahn, Steffen Meyer, Javier Guttíerrez Boronat, and Jörn Thielecke. 2010. A hidden Markov model for urban navigation based on fingerprinting and pedestrian dead reckoning. In Proc. Fusion. IEEE, Washington, DC, USA, 1-8.
    • (2010) Proc. Fusion IEEE , pp. 1-8
    • Seitz, J.1    Vaupel, T.2    Jahn, J.3    Meyer, S.4    Guttíerrez Boronat, J.5    Thielecke, J.6
  • 32
    • 85076713214 scopus 로고    scopus 로고
    • Walkie-Markie: Indoor pathway mapping made easy
    • Berkeley, CA, USA
    • Guobin Shen, Zhuo Chen, Peichao Zhang, Thomas Moscibroda, and Yongguang Zhang. 2013. Walkie-Markie: Indoor pathway mapping made easy. In Proc. NSDI. USENIX, Berkeley, CA, USA, 85-98.
    • (2013) Proc. NSDI. USENIX , pp. 85-98
    • Shen, G.1    Chen, Z.2    Zhang, P.3    Moscibroda, T.4    Zhang, Y.5
  • 33
    • 84893261607 scopus 로고    scopus 로고
    • MoLoc: On distinguishing fingerprint twins
    • IEEE, Washington, DC, USA
    • Wei Sun, Junliang Liu, Chenshu Wu, Zheng Yang, Xinglin Zhang, and Yunhao Liu. 2013. MoLoc: On distinguishing fingerprint twins. In Proc. ICDCS. IEEE, Washington, DC, USA, 226-235.
    • (2013) Proc. ICDCS , pp. 226-235
    • Sun, W.1    Liu, J.2    Wu, C.3    Yang, Z.4    Zhang, X.5    Liu, Y.6
  • 34
    • 84958748827 scopus 로고    scopus 로고
    • Spring model based collaborative indoor position estimation with neighbor mobile devices
    • March
    • Daisuke Taniuchi, Xiaopeng Liu, Daisuke Nakai, and Takuya Maekawa. 2015. Spring model based collaborative indoor position estimation with neighbor mobile devices. IEEE Journal of Selected Topics in Signal Processing 9, 2 (March 2015), 268-277.
    • (2015) IEEE Journal of Selected Topics in Signal Processing 2015 , vol.9 , Issue.2 , pp. 268-277
    • Taniuchi, D.1    Liu, X.2    Nakai, D.3    Maekawa, T.4
  • 35
    • 84923690527 scopus 로고    scopus 로고
    • Automatic update of indoor location fingerprints with pedestrian dead reckoning
    • Article 27 Feb
    • Daisuke Taniuchi and Takuya Maekawa. 2015. Automatic update of indoor location fingerprints with pedestrian dead reckoning. ACM Trans. Embedded Computing System 14, 2, Article 27 (Feb. 2015), 23 pages.
    • (2015) ACM Trans. Embedded Computing System 2015 , vol.14 , Issue.2 , pp. 23
    • Taniuchi, D.1    Maekawa, T.2
  • 36
    • 84885228190 scopus 로고    scopus 로고
    • Detecting and correcting WiFi positioning errors
    • ACM, New York, NY, USA
    • Yuki Tsuda, Quan Kong, and Takuya Maekawa. 2013. Detecting and correcting WiFi positioning errors. In Proc. UbiComp. ACM, New York, NY, USA, 777-786.
    • (2013) Proc. UbiComp , pp. 777-786
    • Tsuda, Y.1    Kong, Q.2    Maekawa, T.3
  • 37
    • 84921065032 scopus 로고    scopus 로고
    • SpyLoc: A light weight localization system for smartphones
    • IEEE, Washington, DC, USA
    • Mostafa Uddin and Tamer Nadeem. 2014. SpyLoc: A light weight localization system for smartphones. In Proc. SECON. IEEE, Washington, DC, USA, 72-80.
    • (2014) Proc. SECON , pp. 72-80
    • Uddin, M.1    Nadeem, T.2
  • 38
    • 84864335859 scopus 로고    scopus 로고
    • No need to war-drive: Unsupervised indoor localization
    • ACM, New York, NY, USA
    • He Wang, Souvik Sen, Ahmed Elgohary, Moustafa Farid, Moustafa Youssef, and Romit Roy Choudhury. 2012. No need to war-drive: Unsupervised indoor localization. In Proc. MobiSys. ACM, New York, NY, USA, 197-210.
    • (2012) Proc. MobiSys , pp. 197-210
    • Wang, H.1    Sen, S.2    Elgohary, A.3    Farid, M.4    Youssef, M.5    Roy Choudhury, R.6
  • 39
    • 84893373612 scopus 로고    scopus 로고
    • On assessing the accuracy of positioning systems in indoor environments
    • Lecture Notes in Computer Science 7772, Springer Berlin Heidelberg
    • Hongkai Wen, Zhuoling Xiao, Niki Trigoni, and Phil Blunsom. 2013. On assessing the accuracy of positioning systems in indoor environments. In Wireless Sensor Networks (Proc. EWSN). Lecture Notes in Computer Science, Vol. 7772. Springer Berlin Heidelberg.
    • (2013) Wireless Sensor Networks (Proc. EWSN
    • Wen, H.1    Xiao, Z.2    Trigoni, N.3    Blunsom, P.4
  • 40
    • 59249106430 scopus 로고    scopus 로고
    • Pedestrian localisation for indoor environments
    • ACM, New York, NY, USA
    • Oliver Woodman and Robert Harle. 2008. Pedestrian localisation for indoor environments. In Proc. UbiComp. ACM, New York, NY, USA, 114-123.
    • (2008) Proc. UbiComp , pp. 114-123
    • Woodman, O.1    Harle, R.2
  • 41
    • 84919934995 scopus 로고    scopus 로고
    • Smartphones based crowdsourcing for indoor localization
    • Chenshu Wu, Zheng Yang, and Yunhao Liu. 2015. Smartphones based crowdsourcing for indoor localization. IEEE Trans. Mobile Computing 14, 2 (2015), 444-457.
    • (2015) IEEE Trans. Mobile Computing 2015 , vol.14 , Issue.2 , pp. 444-457
    • Wu, C.1    Yang, Z.2    Liu, Y.3
  • 43
    • 84904624834 scopus 로고    scopus 로고
    • Lightweight map matching for indoor localisation using conditional random fields
    • Zhuoling Xiao, Hongkai Wen, Andrew Markham, and Niki Trigoni. 2014. Lightweight map matching for indoor localisation using conditional random fields. In Proc. IPSN. ACM, New York, NY, USA, 131-142.
    • (2014) Proc. IPSN. ACM, New York, NY, USA , pp. 131-142
    • Xiao, Z.1    Wen, H.2    Markham, A.3    Trigoni, N.4
  • 45
    • 84908606679 scopus 로고    scopus 로고
    • MaLoc:A practical magnetic fingerprinting approach to indoor localization using smartphones
    • New York, NY, USA
    • Hongwei Xie, Tao Gu, Xianping Tao, Haibo Ye, and Jian Lv. 2014. MaLoc:A practical magnetic fingerprinting approach to indoor localization using smartphones. In Proc. UbiComp. ACM, New York, NY, USA, 243-253.
    • (2014) Proc. UbiComp ACM , pp. 243-253
    • Xie, H.1    Gu, T.2    Tao, X.3    Ye, H.4    Lv, J.5
  • 46
    • 85195929421 scopus 로고    scopus 로고
    • Wearables can afford: Light-weight indoor positioning with visible light
    • ACM, New York, NY, USA
    • Zhice Yang, Zeyu Wang, Jiansong Zhang, Chenyu Huang, and Qian Zhang. 2015a. Wearables can afford: Light-weight indoor positioning with visible light. In Proc. MobiSys. ACM, New York, NY, USA, 317-330.
    • (2015) Proc. MobiSys , pp. 317-330
    • Yang, Z.1    Wang, Z.2    Zhang, J.3    Huang, C.4    Zhang, Q.5
  • 47
    • 84929469749 scopus 로고    scopus 로고
    • Mobility increases localizability: A survey on wireless indoor localization using inertial sensors
    • Article 54 2015
    • Zheng Yang, Chenshu Wu, Zhang Xinglin, Xu Wang, and Yunhao Liu. 2015b. Mobility increases localizability: A survey on wireless indoor localization using inertial sensors. ACM Comput. Surveys 47, 3, Article 54 (2015), 34 pages.
    • (2015) ACM Comput. Surveys , vol.47 , Issue.3 , pp. 34
    • Yang, Z.1    Wu, C.2    Xinglin, Z.3    Wang, X.4    Liu, Y.5
  • 48
    • 84892653858 scopus 로고    scopus 로고
    • From RSSI to CSI: Indoor localization via channel response
    • Article 25
    • Zheng Yang, Zimu Zhou, and Yunhao Liu. 2013. From RSSI to CSI: Indoor localization via channel response. ACM Comput. Surveys 46, 2, Article 25 (2013), 32 pages.
    • (2013) ACM Comput. Surveys 2013 , vol.46 , Issue.2 , pp. 32
    • Yang, Z.1    Zhou, Z.2    Liu, Y.3
  • 49
    • 77953820325 scopus 로고    scopus 로고
    • The Horus WLAN location determination system
    • ACM, New York, NY, USA
    • Moustafa Youssef and Ashok Agrawala. 2005. The Horus WLAN location determination system. In Proc. MobiSys. ACM, New York, NY, USA, 205-218.
    • (2005) Proc. MobiSys , pp. 205-218
    • Youssef, M.1    Agrawala, A.2
  • 50
    • 84885131983 scopus 로고    scopus 로고
    • Pedestrian navigation fusing inertial and RSS/TOF measurements with adaptive movement/measurement models: Experimental evaluation and theoretical limits
    • 2013
    • Francisco Zampella, Alfonso Bahillo, Javier Prieto, Antonio R. Jimnez, and Fernando Seco. 2013. Pedestrian navigation fusing inertial and RSS/TOF measurements with adaptive movement/measurement models: Experimental evaluation and theoretical limits. Sensors and Actuators A: Physical 203, 0 (2013), 249-260.
    • (2013) Sensors and Actuators A: Physical , vol.203 , pp. 249-260
    • Zampella, F.1    Bahillo, A.2    Prieto, J.3    Jimnez, A.R.4    Seco, F.5
  • 51
    • 84904427728 scopus 로고    scopus 로고
    • Montage: Combine frames with movement continuity for realtime multi-user tracking
    • IEEE, Washington, DC, USA
    • Lan Zhang, Kebin Liu, Yonghang Jiang, Xiang-Yang Li, Yunhao Liu, and Panlong Yang. 2014. Montage: Combine frames with movement continuity for realtime multi-user tracking. In Proc. INFOCOM. IEEE, Washington, DC, USA, 799-807.
    • (2014) Proc. INFOCOM , pp. 799-807
    • Zhang, L.1    Liu, K.2    Jiang, Y.3    Li, X.4    Liu, Y.5    Yang, P.6
  • 53
    • 3042853040 scopus 로고    scopus 로고
    • Assessment of spatio-Temporal parameters during unconstrained walking
    • Wiebren Zijlstra. 2004. Assessment of spatio-Temporal parameters during unconstrained walking. European Journal of Applied Physiology 92, 1-2 (2004), 39-44.
    • (2004) European Journal of Applied Physiology 2004 , vol.92 , Issue.1-2 , pp. 39-44
    • Zijlstra, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.