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Thomas Plötz
Thomas Ploetz
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2020 – today
- 2023
- [j47]Vedant Das Swain
, HyeokHyen Kwon, Sonia Sargolzaei, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd:
Leveraging WiFi network logs to infer student collocation and its relationship with academic performance. EPJ Data Sci. 12(1): 22 (2023) - [j46]Shuai Shao
, Yu Guan
, Bing Zhai
, Paolo Missier
, Thomas Plötz
:
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 75:1-75:21 (2023) - [j45]Devleena Das
, Yasutaka Nishimura
, Rajan P. Vivek
, Naoto Takeda
, Sean T. Fish
, Thomas Plötz
, Sonia Chernova
:
Explainable Activity Recognition for Smart Home Systems. ACM Trans. Interact. Intell. Syst. 13(2): 7:1-7:39 (2023) - [c86]David Martin
, Zikang Leng
, Tan Gemicioglu
, Jon Womack
, Jocelyn Heath
, William C. Neubauer
, Hyeokhyen Kwon
, Thomas Ploetz
, Thad Starner
:
FingerSpeller: Camera-Free Text Entry Using Smart Rings for American Sign Language Fingerspelling Recognition. ASSETS 2023: 86:1-86:5 - [c85]Harish Haresamudram
, Chi Ian Tang
, Sungho Suh
, Paul Lukowicz
, Thomas Ploetz
:
Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors. UbiComp/ISWC Adjunct 2023: 759-761 - [c84]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. IE 2023: 1-8 - [c83]Anam Ahmad
, Thomas Ploetz
:
Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity. ISWC 2023: 33-38 - [c82]Zikang Leng
, Hyeokhyen Kwon
, Thomas Ploetz
:
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition. ISWC 2023: 39-43 - [c81]Zikang Leng
, Yash Jain
, Hyeokhyen Kwon
, Thomas Ploetz
:
On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition. ISWC 2023: 55-59 - [c80]Sourish Gunesh Dhekane
, Harish Haresamudram
, Megha Thukral
, Thomas Plötz
:
How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition? ISWC 2023: 66-70 - [c79]Harish Haresamudram, Irfan Essa, Thomas Plötz:
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition. PERCOM 2023: 232-241 - [c78]Thomas Plötz:
Keynote: Computational Behavior Analysis - Pushing the Boundaries Towards Usable Digital Health. PerCom Workshops 2023: 564 - [c77]Thomas Plötz:
If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios. PerCom Workshops 2023: 565-570 - [c76]Shuai Shan, Yu Guan, Xin Guan, Paolo Missier, Thomas Plötz:
On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition. PerCom Workshops 2023: 653-658 - [c75]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
Extraction of Important Temporal Order for eXplainable AI on Time-series data. PerCom Workshops 2023: 659-664 - [i29]Zikang Leng, HyeokHyen Kwon, Thomas Plötz:
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition. CoRR abs/2305.03187 (2023) - [i28]Shuai Shao, Yu Guan, Bing Zhai, Paolo Missier, Thomas Ploetz:
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition. CoRR abs/2305.13541 (2023) - [i27]Harish Haresamudram, Irfan Essa, Thomas Ploetz:
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition. CoRR abs/2306.01108 (2023) - [i26]Zikang Leng, Hyeokhyen Kwon, Thomas Plötz:
On the Benefit of Generative Foundation Models for Human Activity Recognition. CoRR abs/2310.12085 (2023) - [i25]Megha Thukral, Harish Haresamudram, Thomas Ploetz:
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition. CoRR abs/2310.14390 (2023) - [i24]Srivatsa P, Thomas Plötz:
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes. CoRR abs/2311.09514 (2023) - 2022
- [j44]Thomas Plötz:
Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them. ACM Comput. Surv. 54(6): 134:1-134:25 (2022) - [j43]Mehrab Bin Morshed
, Samruddhi Shreeram Kulkarni
, Koustuv Saha
, Richard Li
, Leah G. Roper
, Lama Nachman
, Hong Lu
, Lucia Mirabella
, Sanjeev Srivastava
, Kaya de Barbaro
, Munmun De Choudhury
, Thomas Plötz
, Gregory D. Abowd
:
Food, Mood, Context: Examining College Students' Eating Context and Mental Well-being. ACM Trans. Comput. Heal. 3(4): 38:1-38:26 (2022) - [j42]Betsy DiSalvo, Dheeraj Bandaru, Qiaosi Wang, Hong Li, Thomas Plötz:
Reading the Room: Automated, Momentary Assessment of Student Engagement in the Classroom: Are We There Yet? Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 112:1-112:26 (2022) - [j41]Harish Haresamudram, Irfan Essa, Thomas Plötz:
Assessing the State of Self-Supervised Human Activity Recognition Using Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 116:1-116:47 (2022) - [j40]Shruthi K. Hiremath, Yasutaka Nishimura, Sonia Chernova, Thomas Plötz:
Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 119:1-119:27 (2022) - [j39]Xiaoli Li
, Huanhuan Chen
, Thomas Ploetz
, Min Wu
, Zhenghua Chen
:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 725-727 (2022) - [c74]Yash Jain
, HyeokHyen Kwon
, Thomas Ploetz:
On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors. UbiComp/ISWC Adjunct 2022: 50-52 - [c73]Abrar Ahmed
, Harish Haresamudram
, Thomas Ploetz
:
Clustering of Human Activities from Wearables by Adopting Nearest Neighbors. ISWC 2022: 1-5 - [c72]Mehrab Bin Morshed
, Harish Kashyap Haresamudram
, Dheeraj Bandaru
, Gregory D. Abowd
, Thomas Ploetz
:
A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting. ISWC 2022: 11-16 - [c71]Yulai Cui, Shruthi Kashinath Hiremath
, Thomas Ploetz
:
Reinforcement Learning Based Online Active Learning for Human Activity Recognition. ISWC 2022: 23-27 - [i23]Harish Haresamudram, Irfan Essa, Thomas Plötz:
Assessing the State of Self-Supervised Human Activity Recognition using Wearables. CoRR abs/2202.12938 (2022) - [i22]Daniel Scarafoni, Irfan Essa, Thomas Ploetz:
Finding Islands of Predictability in Action Forecasting. CoRR abs/2210.07354 (2022) - [i21]Zikang Leng, Yash Jain, HyeokHyen Kwon, Thomas Plötz:
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data. CoRR abs/2211.01342 (2022) - [i20]Harish Haresamudram, Irfan Essa, Thomas Ploetz:
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition. CoRR abs/2211.06173 (2022) - [i19]Shuai Shao, Yu Guan, Xin Guan, Paolo Missier, Thomas Ploetz:
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition. CoRR abs/2212.13918 (2022) - 2021
- [j38]Aftab Khan
, Sebastian Mellor, Rachel King, Balazs Janko, William S. Harwin, R. Simon Sherratt, Ian Craddock, Thomas Plötz:
Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. ACM Trans. Comput. Heal. 2(1): 2:1-2:21 (2021) - [j37]Harish Haresamudram, Irfan A. Essa, Thomas Plötz:
Contrastive Predictive Coding for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 65:1-65:26 (2021) - [j36]HyeokHyen Kwon, Bingyao Wang, Gregory D. Abowd, Thomas Plötz:
Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 111:1-111:32 (2021) - [j35]Bing Zhai, Yu Guan, Michael Catt, Thomas Plötz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 191:1-191:33 (2021) - [j34]Thomas Plötz
, Jennifer Healey, Kristof Van Laerhoven
:
ISWC 2020. IEEE Pervasive Comput. 20(1): 45-49 (2021) - [j33]HyeokHyen Kwon
, Gregory D. Abowd
, Thomas Plötz
:
Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables. Sensors 21(24): 8337 (2021) - [j32]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
Can You See It?: Good, So We Can Sense It! GetMobile Mob. Comput. Commun. 25(2): 38-42 (2021) - [j31]Md. Mobashir Hasan Shandhi
, William H. Bartlett
, James Alex Heller
, Mozziyar Etemadi
, Aaron J. Young
, Thomas Plötz
, Omer T. Inan
:
Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. IEEE J. Biomed. Health Informatics 25(3): 634-646 (2021) - [c70]Shruthi Kashinath Hiremath, Thomas Ploetz:
On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition. ISWC 2021: 13-17 - [i18]Dan Scarafoni, Irfan Essa, Thomas Ploetz:
PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction. CoRR abs/2103.15987 (2021) - [i17]Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, Naoto Takeda, Sean T. Fish, Thomas Ploetz, Sonia Chernova:
Explainable Activity Recognition for Smart Home Systems. CoRR abs/2105.09787 (2021) - [i16]Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. CoRR abs/2111.10245 (2021) - 2020
- [j30]HyeokHyen Kwon, Catherine Tong
, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz:
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 87:1-87:29 (2020) - [j29]Shruthi K. Hiremath, Thomas Plötz:
Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 131:1-131:24 (2020) - [c69]Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L. Grady, Irfan A. Essa, Judy Hoffman
, Thomas Plötz:
Masked reconstruction based self-supervision for human activity recognition. ISWC 2020: 45-49 - [c68]Qiaosi Wang, Shan Jing, David A. Joyner, Lauren Wilcox, Hong Li, Thomas Plötz, Betsy DiSalvo:
Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts. L@S 2020: 63-76 - [c67]Mehrab Bin Morshed, Koustuv Saha, Munmun De Choudhury, Gregory D. Abowd, Thomas Plötz:
Measuring Self-Esteem with Passive Sensing. PervasiveHealth 2020: 363-366 - [e2]Kristof Van Laerhoven, Monica Tentori, Nadir Weibel, Jennifer Healey, Thomas Ploetz:
ISWC '20: 2020 ACM International Symposium on Wearable Computers, Virtual Event, Mexico, September 12-17, 2020. ACM 2020, ISBN 978-1-4503-8077-5 [contents] - [i15]Vedant Das Swain, HyeokHyen Kwon, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd:
Leveraging WiFi Network Logs to Infer Social Interactions: A Case Study of Academic Performance and Student Behavior. CoRR abs/2005.11228 (2020) - [i14]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition. CoRR abs/2006.05675 (2020) - [i13]Yuchao Ma, Andrew T. Campbell, Diane J. Cook, John C. Lach, Shwetak N. Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh:
Transfer Learning for Activity Recognition in Mobile Health. CoRR abs/2007.06062 (2020) - [i12]Harish Haresamudram, Irfan A. Essa, Thomas Ploetz:
Contrastive Predictive Coding for Human Activity Recognition. CoRR abs/2012.05333 (2020)
2010 – 2019
- 2019
- [j28]Robin J. Thompson, Stephen G. Matthews
, Thomas Plötz, Ilias Kyriazakis
:
Freedom to lie: How farrowing environment affects sow lying behaviour assessment using inertial sensors. Comput. Electron. Agric. 157: 549-557 (2019) - [j27]Yan Gao, Yang Long, Yu Guan
, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 12:1-12:22 (2019) - [j26]Xuewen Yao
, Thomas Plötz, Mckensey Johnson, Kaya de Barbaro
:
Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science and Intervention. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 64:1-64:17 (2019) - [j25]Mehrab Bin Morshed, Koustuv Saha, Richard Li, Sidney K. D'Mello, Munmun De Choudhury, Gregory D. Abowd, Thomas Plötz:
Prediction of Mood Instability with Passive Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 75:1-75:21 (2019) - [c66]Harish Haresamudram, David V. Anderson, Thomas Plötz:
On the role of features in human activity recognition. UbiComp 2019: 78-88 - [c65]HyeokHyen Kwon, Gregory D. Abowd, Thomas Plötz:
Handling annotation uncertainty in human activity recognition. UbiComp 2019: 109-117 - [c64]Philip Schmidt, Robert Dürichen, Attila Reiss, Kristof Van Laerhoven, Thomas Plötz:
Multi-target affect detection in the wild: an exploratory study. UbiComp 2019: 211-219 - [c63]Kathan Vyas, Rui Ma, Behnaz Rezaei, Shuangjun Liu
, Michael Neubauer, Thomas Ploetz, Ronald Oberleitner, Sarah Ostadabbas:
Recognition Of Atypical Behavior In Autism Diagnosis From Video Using Pose Estimation Over Time. MLSP 2019: 1-6 - [i11]Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. CoRR abs/1902.08068 (2019) - 2018
- [j24]Thomas Plötz, Yu Guan:
Deep Learning for Human Activity Recognition in Mobile Computing. Computer 51(5): 50-59 (2018) - [j23]Thomas Ploetz, Jennifer Healey:
ISWC 2017: Riding the Waves of Wearables. IEEE Pervasive Comput. 17(2): 78-83 (2018) - [j22]Stephen J. McKenna
, Telmo Amaral, Thomas Plötz, Ilias Kyriazakis
:
Multi-part segmentation for porcine offal inspection with auto-context and adaptive atlases. Pattern Recognit. Lett. 112: 290-296 (2018) - [j21]Jake Cowton
, Ilias Kyriazakis
, Thomas Plötz
, Jaume Bacardit
:
A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors. Sensors 18(8): 2521 (2018) - [j20]Ahmed Kharrufa
, Thomas Ploetz, Patrick Olivier
:
A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis. ACM Trans. Comput. Hum. Interact. 24(6): 39:1-39:39 (2018) - [c62]Cheng Zhang, Qiuyue Xue, Anandghan Waghmare, Ruichen Meng, Sumeet Jain, Yizeng Han, Xinyu Li, Kenneth A. Cunefare, Thomas Ploetz, Thad Starner, Omer T. Inan, Gregory D. Abowd:
FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing. CHI 2018: 437 - [c61]Jason Wu, Cooper Colglazier, Adhithya Ravishankar, Yuyan Duan, Yuanbo Wang, Thomas Ploetz, Thad Starner:
Seesaw: rapid one-handed synchronous gesture interface for smartwatches. UbiComp 2018: 17-20 - [c60]Hong Li, Gregory D. Abowd, Thomas Plötz:
On specialized window lengths and detector based human activity recognition. UbiComp 2018: 68-71 - [c59]HyeokHyen Kwon, Gregory D. Abowd, Thomas Plötz:
Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables. UbiComp 2018: 72-75 - [c58]Vishvak S. Murahari, Thomas Plötz:
On attention models for human activity recognition. UbiComp 2018: 100-103 - [c57]Hong Li, Shishir Chawla, Richard Li, Sumeet Jain, Gregory D. Abowd, Thad Starner, Cheng Zhang, Thomas Plötz:
Wristwash: towards automatic handwashing assessment using a wrist-worn device. UbiComp 2018: 132-139 - [i10]Vishvak S. Murahari, Thomas Ploetz:
On Attention Models for Human Activity Recognition. CoRR abs/1805.07648 (2018) - [i9]Kriti Nelavelli, Thomas Ploetz:
Adaptive App Design by Detecting Handedness. CoRR abs/1805.08367 (2018) - [i8]Maarten Vanhoof, Fernando Reis, Zbigniew Smoreda, Thomas Ploetz:
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art. CoRR abs/1808.06398 (2018) - [i7]Maarten Vanhoof, Fernando Reis, Thomas Ploetz, Zbigniew Smoreda:
Assessing the quality of home detection from mobile phone data for official statistics. CoRR abs/1809.07567 (2018) - [i6]Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda:
Geographical veracity of indicators derived from mobile phone data. CoRR abs/1809.09912 (2018) - [i5]BingZhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz:
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. CoRR abs/1811.10493 (2018) - 2017
- [j19]Yu Guan, Thomas Plötz:
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 11:1-11:28 (2017) - [j18]Aftab Khan
, James Nicholson, Thomas Plötz:
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 62:1-62:31 (2017) - [j17]Cheng Zhang, Anandghan Waghmare, Pranav Kundra, Yiming Pu, Scott M. Gilliland, Thomas Ploetz, Thad E. Starner, Omer T. Inan, Gregory D. Abowd:
FingerSound: Recognizing unistroke thumb gestures using a ring. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 120:1-120:19 (2017) - [j16]Sara Nabil, David S. Kirk, Thomas Ploetz, Peter C. Wright:
Designing Future Ubiquitous Homes with OUI Interiors: Possibilities and Challenges. IxD&A 32: 28-37 (2017) - [c56]Kyle Montague
, Daniel Jackson
, Tobias Brühwiler, Tom Bartindale
, Gerard Wilkinson, Patrick Olivier
, Otmar Hilliges, Thomas Ploetz:
Prototyping Ubiquitous Imaging Surfaces. Conference on Designing Interactive Systems 2017: 203-207 - [c55]Sara Nabil
, David S. Kirk
, Thomas Plötz, Julie Trueman
, David J. Chatting
, Dmitry Dereshev
, Patrick Olivier
:
Interioractive: Smart Materials in the Hands of Designers and Architects for Designing Interactive Interiors. Conference on Designing Interactive Systems 2017: 379-390 - [c54]Cheng Zhang, Xiaoxuan Wang, Anandghan Waghmare, Sumeet Jain, Thomas Ploetz, Omer T. Inan, Thad E. Starner, Gregory D. Abowd:
FingOrbits: interaction with wearables using synchronized thumb movements. ISWC 2017: 62-65 - [c53]Sara Nabil
, Thomas Plötz, David S. Kirk
:
Interactive Architecture: Exploring and Unwrapping the Potentials of Organic User Interfaces. TEI 2017: 89-100 - [e1]Seungyon Claire Lee, Leila Takayama, Khai N. Truong, Jennifer Healey, Thomas Ploetz:
Proceedings of the 2017 ACM International Symposium on Wearable Computers, ISWC 2017, Maui, HI, USA, September 11-15, 2017. ACM 2017, ISBN 978-1-4503-5188-1 [contents] - [i4]Yu Guan, Thomas Ploetz:
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables. CoRR abs/1703.09370 (2017) - 2016
- [j15]Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Thomas Ploetz, Mark A. Clements, Irfan A. Essa:
Automated video-based assessment of surgical skills for training and evaluation in medical schools. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1623-1636 (2016) - [j14]Robin J. Thompson
, Stephanie M. Matheson, Thomas Plötz, Sandra A. Edwards
, Ilias Kyriazakis
:
Porcine lie detectors: Automatic quantification of posture state and transitions in sows using inertial sensors. Comput. Electron. Agric. 127: 521-530 (2016) - [j13]Aftab Khan
, Nils Y. Hammerla, Sebastian Mellor, Thomas Plötz:
Optimising sampling rates for accelerometer-based human activity recognition. Pattern Recognit. Lett. 73: 33-40 (2016) - [c52]Nils Y. Hammerla, Shane Halloran, Thomas Plötz:
Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables. IJCAI 2016: 1533-1540 - [c51]Telmo Amaral, Ilias Kyriazakis
, Stephen J. McKenna
, Thomas Plötz:
Segmentation of organs in pig offal using auto-context. ISBI 2016: 1324-1328 - [c50]Telmo Amaral, Ilias Kyriazakis
, Stephen J. McKenna
, Thomas Plötz:
Weighted atlas auto-context with application to multiple organ segmentation. WACV 2016: 1-9 - [i3]Nils Y. Hammerla, Shane Halloran
, Thomas Ploetz:
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables. CoRR abs/1604.08880 (2016) - 2015
- [j12]Tom Schofield, David S. Kirk, Telmo Amaral, Marian Dörk
, Mitchell Whitelaw
, Guy Schofield, Thomas Ploetz:
Archival Liveness: Designing with Collections Before and During Cataloguing and Digitization. Digit. Humanit. Q. 9(3) (2015) - [j11]Szilárd Vajda, Thomas Plötz, Gernot A. Fink:
Camera-Based Whiteboard Reading for Understanding Mind Maps. Int. J. Pattern Recognit. Artif. Intell. 29(3): 1553003:1-1553003:26 (2015) - [j10]Michael A. Brown
, Tim Coughlan
, Thomas Plötz, Peter Tolmie
, Gregory D. Abowd:
Methods for Studying Technology in the Home. Interact. Comput. 27(1): 1-2 (2015) - [j9]Aftab Khan, Eugen Berlin, Sebastian Mellor, Robin J. Thompson, Nils Y. Hammerla, Roisin McNaney, Patrick Olivier
, Thomas Plötz:
How did I do?: Automatic Skill Assessment from Activity Data. GetMobile Mob. Comput. Commun. 19(4): 18-22 (2015) - [c49]Tudor Miu, Paolo Missier
, Thomas Plötz:
Bootstrapping Personalised Human Activity Recognition Models Using Online Active Learning. CIT/IUCC/DASC/PICom 2015: 1138-1147 - [c48]Nils Yannick Hammerla, James Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Ploetz:
PD Disease State Assessment in Naturalistic Environments Using Deep Learning. AAAI 2015: 1742-1748 - [c47]Amey Holden, Roisin McNaney, Madeline Balaam, Robin J. Thompson, Nils Y. Hammerla, Thomas Ploetz, Daniel Jackson
, Christopher Price
, Lianne Brkic, Patrick Olivier
:
CueS: cueing for upper limb rehabilitation in stroke. BCS HCI 2015: 18-25 - [c46]Reuben Kirkham, Carlton Shepherd, Thomas Plötz:
BlobSnake: gamification of feature extraction for 'plug and play' human activity recognition. BCS HCI 2015: 74-81 - [c45]