• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 2,481 matches

• 2021
• 
  Md. Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed:
  IoT Sensor-Based Activity Recognition - Human Activity Recognition. Intelligent Systems Reference Library 173, Springer 2021, ISBN 978-3-030-51378-8, pp. 1-189
• 
  Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
  Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202: 103111 (2021)
• 
  Wesllen Sousa Lima, Hendrio L. de Souza Bragança, Eduardo J. Souto:
  NOHAR - NOvelty discrete data stream for Human Activity Recognition based on smartphones with inertial sensors. Expert Syst. Appl. 166: 114093 (2021)
• 
  Nafiul Rashid, Manik Dautta, Peter Tseng, Mohammad Abdullah Al Faruque:
  HEAR: Fog-Enabled Energy-Aware Online Human Eating Activity Recognition. IEEE Internet Things J. 8(2): 860-868 (2021)
• 
  Türker Tuncer, Fatih Ertam:
  Novel tent pooling based human activity recognition approach. Multim. Tools Appl. 80(3): 4639-4653 (2021)
• 
  Yair Lakertz, Ori Ossmy, Naama Friedmann, Roy Mukamel, Itzhak Fried:
  Single-cell activity in human STG during perception of phonemes is organized according to manner of articulation. NeuroImage 226: 117499 (2021)
• 
  Marcin Lewandowski, Bartlomiej Placzek, Marcin Bernas:
  Classifier-Based Data Transmission Reduction in Wearable Sensor Network for Human Activity Monitoring. Sensors 21(1): 85 (2021)
• 
  Refiz Duro, Alexandra-Ioana Bojor, Georg Neubauer:
  Observing Moving Vehicles as a Signature of Human Activity During a Pandemic. ERCIM News 2021(124) (2021)
• 2020
• 
  Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
  Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 8: 210816-210836 (2020)
• 
  Vibekananda Dutta, Teresa Zielinska:
  Prognosing Human Activity Using Actions Forecast and Structured Database. IEEE Access 8: 6098-6116 (2020)
• 
  Muhammad Ehatisham-ul-Haq, Muhammad Awais Azam, Yasar Amin, Usman Naeem:
  C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors. IEEE Access 8: 7731-7747 (2020)
• 
  Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
  On the Personalization of Classification Models for Human Activity Recognition. IEEE Access 8: 32066-32079 (2020)
• 
  Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
  Sensing Technology for Human Activity Recognition: A Comprehensive Survey. IEEE Access 8: 83791-83820 (2020)
• 
  Davoud Gholamiangonabadi, Nikita Kiselov, Katarina Grolinger:
  Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection. IEEE Access 8: 133982-133994 (2020)
• 
  Xuanke He, Jiang Zhu, Wenjing Su, Manos M. Tentzeris:
  RFID Based Non-Contact Human Activity Detection Exploiting Cross Polarization. IEEE Access 8: 46585-46595 (2020)
• 
  Yue Hu, Xiao-Qing Zhang, Li Xu, Feng Xian He, Zhao Tian, Wei She, Wei Liu:
  Harmonic Loss Function for Sensor-Based Human Activity Recognition Based on LSTM Recurrent Neural Networks. IEEE Access 8: 135617-135627 (2020)
• 
  Isah Abdullahi Lawal, Sophia Bano:
  Deep Human Activity Recognition With Localisation of Wearable Sensors. IEEE Access 8: 155060-155070 (2020)
• 
  Zhenyu Liu, Yaqiang Yao, Yan Liu, Yuening Zhu, Zhenchao Tao, Lei Wang, Yuhong Feng:
  Learning Dynamic Spatio-Temporal Relations for Human Activity Recognition. IEEE Access 8: 130340-130352 (2020)
• 
  Tianqi Lv, Xiaojuan Wang, Lei Jin, Yabo Xiao, Mei Song:
  A Hybrid Network Based on Dense Connection and Weighted Feature Aggregation for Human Activity Recognition. IEEE Access 8: 68320-68332 (2020)
• 
  Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
  Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. IEEE Access 8: 203358-203368 (2020)
• 
  Muhammad Muaaz, Ali Chelli, Ahmed Abdelgawwad, Andreu Català Mallofré, Matthias Pätzold:
  WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities. IEEE Access 8: 164453-164470 (2020)
• 
  Yoshihisa Okamoto, Takafumi Sasaoka, Norihiro Sadato, Masaki Fukunaga, Tetsuya Yamamoto, Zu Soh, Takahide Nouzawa, Shigeto Yamawaki, Toshio Tsuji:
  Is Human Brain Activity During Driving Operations Modulated by the Viscoelastic Characteristics of a Steering Wheel?: An fMRI Study. IEEE Access 8: 215073-215090 (2020)
• 
  Cuong Pham, Thai Son Nguyen, Huy Tran-Quang, Son Tran, Hai Vu, Thanh-Hai Tran, Thi-Lan Le:
  SensCapsNet: Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition. IEEE Access 8: 86934-86946 (2020)
• 
  Ana-Cosmina Popescu, Irina Mocanu, Bogdan Cramariuc:
  Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning. IEEE Access 8: 143996-144014 (2020)
• 
  Furqan Rustam, Aijaz Ahmad Reshi, Imran Ashraf, Arif Mehmood, Saleem Ullah, Dost Muhammad Khan, Gyu Sang Choi:
  Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model. IEEE Access 8: 218898-218910 (2020)
• 
  Wenjing Su, Jiang Zhu, Huan Liao, Manos M. Tentzeris:
  Wearable Antennas for Cross-Body Communication and Human Activity Recognition. IEEE Access 8: 58575-58584 (2020)
• 
  Senem Tanberk, Zeynep Hilal Kilimci, Dilek Bilgin Tükel, Mitat Uysal, Selim Akyokus:
  A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition. IEEE Access 8: 19799-19809 (2020)
• 
  Changhai Wang, Bo Wang, Hui Liang, Jianzhong Zhang, Wanwei Huang, Wangwei Zhang:
  W-Trans: A Weighted Transition Matrix Learning Algorithm for the Sensor-Based Human Activity Recognition. IEEE Access 8: 72870-72880 (2020)
• 
  Kun Xia, Jianguang Huang, Hanyu Wang:
  LSTM-CNN Architecture for Human Activity Recognition. IEEE Access 8: 56855-56866 (2020)
• 
  Hongji Xu, Juan Li, Hui Yuan, Qiang Liu, Shidi Fan, Tiankuo Li, Xiaojie Sun:
  Human Activity Recognition Based on Gramian Angular Field and Deep Convolutional Neural Network. IEEE Access 8: 199393-199405 (2020)

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