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Robust, low-cost, non-intrusive sensing and recognition of seated postures

Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica Hodgins
2007 Proceedings of the 20th annual ACM symposium on User interface software and technology - UIST '07  
By using a near-optimal sensor placement strategy, we keep the number of required sensors low thereby reducing cost and computational complexity.  ...  Information about seated postures could be used to help avoid adverse effects of sitting for long periods of time or to predict seated activities for a human-computer interface.  ...  We would like to thank Professors Hong Tan of Purdue University and Lynne Slivovsky of California Polytechnic State University for providing their data set for comparison.  ... 
doi:10.1145/1294211.1294237 dblp:conf/uist/MutluKFGH07 fatcat:rubrkeicordajdyshryz7xfjju

Posture Detection Based on Smart Cushion for Wheelchair Users

Congcong Ma, Wenfeng Li, Raffaele Gravina, Giancarlo Fortino
2017 Sensors  
Our proposed method is very competitive for posture recognition and robust in comparison with other former research.  ...  The proposed posture detection method is composed of three main steps: data level classification for posture detection, backward selection of sensor configuration, and recognition results compared with  ...  Raffaele Gravina contributed to the technical and scientific aspects, to the analysis of the experimental data, and to a substantial revision of the manuscript.  ... 
doi:10.3390/s17040719 pmid:28353684 pmcid:PMC5421679 fatcat:bjtklrnyi5exzornx6toht6gou

High-Efficiency Multi-Sensor System for Chair Usage Detection

Alessandro Baserga, Federico Grandi, Andrea Masciadri, Sara Comai, Fabio Salice
2021 Sensors  
The results obtained in a real environment setting show an accuracy of 98.6% and a precision of 95%.  ...  Recognizing Activities of Daily Living (ADL) or detecting falls in domestic environments require monitoring the movements and positions of a person.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21227580 pmid:34833654 pmcid:PMC8620359 fatcat:ro73ma4pc5f7zj5mtntnpoozc4

Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion

Katia Bourahmoune, Karlos Ishac, Toshiyuki Amagasa
2022 Sensors  
We demonstrate our system's performance in sitting posture and seated stretch recognition tasks with over 98.82% accuracy in recognizing 15 different sitting postures and 97.94% in recognizing six seated  ...  We present a solution for intelligent posture training based on accurate, real-time sitting posture monitoring using the LifeChair IoT cushion and supervised machine learning from pressure sensing and  ...  Roh et al. (2018) used a low-cost load cell system made of four load cells mounted on the bottom rest of a chair [36] .  ... 
doi:10.3390/s22145337 pmid:35891018 pmcid:PMC9320787 fatcat:ge5yqhvdsvcrlmiercszn3tyfi

Methods of posture analysis for computer workers

Sara Maheronnaghsh, Joana Santos, M. Vaz
2018 International Journal of Occupational and Environmental Safety  
, disability and loss of productivity.  ...  A review on different approaches for computer workers posture was accomplished and noted that the simultaneous utilization of the different methods allows achieving better posture analysis, compared to  ...  Development of a low-cost wearable sensing glove with multiple inertial sensors and a light and fast orientation estimation algorithm.  ... 
doi:10.24840/2184-0954_002.002_0005 fatcat:yjsx77irfndc7afhtwq57o2suy

Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes

Jacqueline Kory Westlund, Sidney K. D'Mello, Andrew M. Olney, Philip Allen
2015 PLoS ONE  
Progress in this area can be accelerated by inexpensive, non-intrusive, portable, scalable, and easy to calibrate movement tracking systems.  ...  They used these to develop software that could record a set of defined postures, recognize recorded postures, and playback postures using 3D animations.  ...  Manual-coding methods are technologically cheap and non-intrusive but can be labor-intensive, and subjective.  ... 
doi:10.1371/journal.pone.0130293 pmid:26086771 pmcid:PMC4472690 fatcat:iaae67j7zjcxxatf4tdqa5oyrm

Smart Office Chairs with Sensors for Detecting Sitting Positions and Sitting Habits

Zoran Vlaović, Marko Jaković, Danijela Domljan
2022 Drvna industrija  
Smart technologies and sensors are installed in different parts of office chairs, which enables monitoring of seating patterns and prevents positions that potentially endanger the health of users.  ...  seating furniture for work.  ...  The proposed system brings longer battery life, better user experience, and robustness compared to other types of sensing systems.  ... 
doi:10.5552/drvind.2022.0002 fatcat:od52y22g55dxlbbp43d32hhzhq

Sensing Technology for Human Activity Recognition: a Comprehensive Survey

Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper.
2020 IEEE Access  
Therefore, having a well defined categorization of sensing technology is essential for the systematic design of human activity recognition systems.  ...  We identify the limitations with respect to the hardware and software characteristics of each sensor category and draw comparisons based on benchmark features retrieved from the research works introduced  ...  Braun [51] proposed a driver's seat enhanced with capacitive proximity sensing to detect a wide range of physiological parameters about the driver and his sitting postures for activity recognition in  ... 
doi:10.1109/access.2020.2991891 fatcat:ukkpc2gdkvd2dird52ttebe6sy

Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance [article]

Xia Wu, Haiyuan Liu, Ziqi Liu, Mingdong Chen, Fang Wan, Chenglong Fu, Harry Asada, Zheng Wang, Chaoyang Song
2020 arXiv   pre-print
the detection accuracy using depth sensing and adjustments on the model still require further research in the future.  ...  If so, how should we address the cognitive acceptance and ambient control of elderly assistive robots through design?  ...  and non-intrusive robotic techniques for active elderly assistance in forms of pneumatic actuation, inflatable vest, and privacy-safe sensing; • A modified biomechanical model of sit-to-stand movement  ... 
arXiv:2003.02080v1 fatcat:3wjpoyz74bffjltubkknjze77e

A Job Interview Simulation: Social Cue-Based Interaction with a Virtual Character

Tobias Baur, Ionut Damian, Patrick Gebhard, Kaska Porayska-Pomsta, Elisabeth Andre
2013 2013 International Conference on Social Computing  
In this environment, the virtual character plays the role of a recruiter which reacts and adapts to the user's behavior thanks to a component for the automatic recognition of social cues (conscious or  ...  This paper presents an approach that makes use of a virtual character and social signal processing techniques to create an immersive job interview simulation environment.  ...  ACKNOWLEDGEMENTS We would like to thank Alexis Heloir for being a great help and for providing the Virtual Character Ben within the EMBOTS framework.  ... 
doi:10.1109/socialcom.2013.39 dblp:conf/socialcom/BaurDGPA13 fatcat:7jkr3obrd5b4nnssosfyb5d5na

Platform Design for Health-Care Monitoring Applications

Roozbeh Jafari, Ruzena Bajcsy, Steven Glaser, Bruce Gnade, Marco Sgroi, Shankar Sastry
2007 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007)  
Advances in technology have led to development of various sensing, computing and communication devices that can be woven into the physical environment of our daily lives.  ...  Finally, we present our preliminary results on the movement monitoring application and demonstrate the feasibility of our proposed design techniques.  ...  They are thin enough to enable non-intrusive measurement. The resistance of the sensor decreases as force is applied.  ... 
doi:10.1109/hcmdss-mdpnp.2007.24 fatcat:nkdyg66byba4jcwyze5guqruf4

Human Activity Sensing with Wireless Signals: A Survey

Jiao Liu, Guanlong Teng, Feng Hong
2020 Sensors  
The ubiquitous availability of wireless signals brings new opportunities for non-intrusive human activity sensing.  ...  Based on the analysis of existing research, the survey points out seven challenges on wireless human activity sensing research: robustness, non-coexistence of sensing and communications, privacy, multiple  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable comments and helpful suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20041210 pmid:32098392 pmcid:PMC7071003 fatcat:yc4npmrnwbculbprwlnyad7hwi

A Systematic Review of Non-Contact Sensing for Developing a Platform to Contain COVID-19

Muhammad Bilal Khan, Zhiya Zhang, Lin Li, Wei Zhao, Mohammed Ali Mohammed Al Hababi, Xiaodong Yang, Qammer H. Abbasi
2020 Micromachines  
This study proposes a non-contact sensing platform for the early diagnosis of COVID-19 symptoms and monitoring of the human activities and health during the isolation or quarantine period.  ...  Recent advances in non-contact sensing to improve health care is the motivation of this study in order to contribute to the containment of the COVID-19 outbreak.  ...  A low cost, non-intrusive and minimal low-power radarbased sensing system that uses a novel approach for human activity recognition in the home was developed that investigates fifteen different challenging  ... 
doi:10.3390/mi11100912 pmid:33008018 pmcid:PMC7599929 fatcat:hb2jlul4zjerrkewigqeq7fbv4

A Modular Sensorized Mat for Monitoring Infant Posture

Marco Donati, Francesca Cecchi, Filippo Bonaccorso, Marco Branciforte, Paolo Dario, Nicola Vitiello
2013 Sensors  
In this work we present a complete description of the sensing apparatus along with its experimental characterization and validation with five healthy infants.  ...  The system consists of on-board electronics for data collection, pre-elaboration, and transmission to a remote computing unit for analysis and posture classification.  ...  Acknowledgments The authors want to thank Massimo Soldateschi for helping with the recruitment of the healthy infants and the support during the experimental validation, and Levin Sliker for proof reading  ... 
doi:10.3390/s140100510 pmid:24385029 pmcid:PMC3926572 fatcat:pitfqkqjrvhfvbiqvjdtxulz7m

Enabling always-available input with muscle-computer interfaces

T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin Balakrishnan, Jim Turner, James A. Landay
2009 Proceedings of the 22nd annual ACM symposium on User interface software and technology - UIST '09  
We further show generalizability across different arm postures and explore the tradeoffs of providing real-time visual feedback.  ...  Previous work has demonstrated the viability of applying offline analysis to interpret forearm electromyography (EMG) and classify finger gestures on a physical surface.  ...  advice and tools.  ... 
doi:10.1145/1622176.1622208 dblp:conf/uist/SaponasTMBTL09 fatcat:i7p2p7x2rfaormus2k2vlzkt5m
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