A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Probabilistic identification of sit-to-stand and stand-to-sit with a wearable sensor
2018
Pattern Recognition Letters
Preserved Fulltext
Acknowledgments This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) for the 'Wearable soft robotics for independent living' project (EP/M026388/1). ...
In this work, an approach composed of a Bayesian formulation and a sequential analysis method, is presented for identification of sit-to-stand (SiSt) and stand-to-sit (StSi) activities. ...
Identification of SiSt and StSi, using the probabilistic approach and one wearable sensor, are validated with experiments in offline, realtime and a simulated environment. ...
doi:10.1016/j.patrec.2018.03.020
fatcat:mingdlmy2fgdppds3a3i3dq4f4
Combining multiple sensors for event recognition of older people
2013
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare - MIIRH '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The evaluation presents the preliminary results of this approach on two cases: the combination of events from heterogeneous sensors (a RGB camera and a wearable inertial sensor); and the combination of ...
conflicting events from video cameras with a partially overlapped field of view (a RGB-and a RGB-D-camera). ...
For instance, we present the modeling of a Person posture (e.g., Sitting, Standing) using events generated from a video-camera and a wearable inertial sensor. ...
doi:10.1145/2505323.2505329
dblp:conf/mm/JuniorFRMBT13
fatcat:dc54m4otejeddhawpo6h7ag7cq
A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We propose a three-segment body model for estimating sit-to-stand kinematics using only two wearable inertial sensors, placed on the shank and back. ...
Sit-to-stand transitions are an important part of activities of daily living and play a key role in functional mobility in humans. ...
Acknowledgments The authors would like to thank all the participants in this study who helped in recording the data and enabled this research. ...
arXiv:2107.06859v1
fatcat:a6dcxx2pjza75kzlphi3rxg2pa
Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
2016
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
They wore a batteryless, lightweight and wireless sensor over their attire and performed a set of broadly scripted activities. ...
We investigate the recognition of bed and chair exits in real-time using a wireless wearable sensor worn by healthy older volunteers. Fourteen healthy older participants joined in supervised trials. ...
We wish to thank Shailaja Nair for helping with the recruitment of participants for the trials. ...
doi:10.3390/s16040546
pmid:27092506
pmcid:PMC4851060
fatcat:5iudui24lvcjxayhlmql7x3kii
Daily Living Activity Recognition In-The-Wild: Modeling and Inferring Activity-Aware Human Contexts
2022
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The proposed idea is validated using a series of experiments, and it achieved an average balanced accuracy of 89.43%, which proves its effectiveness. ...
, and phone states) using portable accelerometer sensors. ...
Acknowledgments: This research work is supported by the School of Information Technology, Whitecliffe, Wellington, New Zealand, and Air University, Islamabad, Pakistan. ...
doi:10.3390/electronics11020226
fatcat:cqykt235grcv3bn2i6wfzexwyy
Evaluation of a monitoring system for event recognition of older people
2013
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Most of available research prototypes for older people monitoring focus on fall detection or gait analysis and rely on wearable, environmental, or video sensors. ...
The prototype uses as input a 2D RGB camera, and its performance is compared to the use of a RGB-D camera. ...
transfer is characterized by transfers between sitting and standing posture), and the identification of a person presence in one or more zones. ...
doi:10.1109/avss.2013.6636634
dblp:conf/avss/CrispimBFKRTB13
fatcat:weawmlj4mbaodpgsosfxvoxdei
Hierarchical Coherent Anomaly Fall Detection Low Bandwidth System with Combination of Wearable Sensors for Identifying Behavioral Abnormalities
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The classification is spread on various sensor nodes, and a computer for a specific station, the distribution of multiple action classes is demonstrated to follow a mixture of subspace model for each action ...
The probabilistic theoretical paradigm is used to identify three types of irregularities, including spatial deviations, timing anomalies, and anomalies of sequence. ...
The wearable sensor is an Ocean node with a wireless connection with an intelligent home system and sends alarm telegrams automatically in case of a fall.A portable, lightweight, and non-toxic pH sensor ...
doi:10.1109/access.2020.3012001
fatcat:pywsfijx3vczhatkad6qf2fcly
Mining user activity as a context source for search and retrieval
2011
2011 International Conference on Semantic Technology and Information Retrieval
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In this paper we discuss how we can gather user activity automatically as a context source from a wearable mobile device and we evaluate the accuracy of our proposed user activity recognition algorithm ...
We discuss promising experimental results, possible approaches to improve our algorithms, and the impact of this work in modelling user context toward enhanced search and retrieval. ...
Recall that the four activities we are concerned with are: Sitting/Standing,Walking, Driving and Lying down.
A. ...
doi:10.1109/stair.2011.5995782
fatcat:w47d5kwxyrfbzjjm7oezqqot3a
Human activity recognition using multisensor data fusion based on Reservoir Computing
2016
Journal of Ambient Intelligence and Smart Environments
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost. ...
In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental ...
Acknowledgments This work is partially supported by the EU FP7 RU-BICON project (contract no. 269914), by the EU FP7 GiraffPlus project (contract no. 288173), and by the EU FP7 DOREMI project (contract ...
doi:10.3233/ais-160372
fatcat:w3mjkpnkfjf3lancfzr5h35iee
Event Recognition for Unobtrusive Assisted Living
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In particular, we present our knowledge-driven approach to the detection of Activities of Daily Living (ADL) and functional ability, based on a probabilistic version of the Event Calculus. ...
USEFIL is an FP7 project aiming to provide health-care assistance in a smart-home setting. We present the data fusion component of USEFIL which is based on a complex event recognition methodology. ...
acknowledgement The research leading to these results has received funding from the European Union, Seventh Framework Programme (FP7/2007-2013), under grant agreements n o 288532 (USEFIL) and n o 619435 ...
doi:10.1007/978-3-319-07064-3_41
fatcat:imszu6qqzbdp5he3hav6mdtx4e
A Hybrid Deep Residual Network for Efficient Transitional Activity Recognition Based on Wearable Sensors
2022
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This study aims to present a hybrid deep residual model for transitional activity recognition utilizing signal data from wearable sensors. ...
The developed model enhances the ResNet model with hybrid Squeeze-and-Excitation (SE) residual blocks combining a Bidirectional Gated Recurrent Unit (BiGRU) to extract deep spatio-temporal features hierarchically ...
, and lying) and six transitional actions (sit-to-stand, stand-to-sit, sit-to-lie, lie-to-sit, lie-to-stand, stand-to-lie). ...
doi:10.3390/app12104988
fatcat:3obt7tibjjbdhp72jvzyeozpp4
A Novel Hybrid Deep Learning Model for Activity Detection Using Wide-Angle Low-Resolution Infrared Array Sensor
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
There is also a risk of damage to the device if they fall accidentally. In such situations, non-wearable devices provide several advantages compared with wearable ones. ...
These conventional methods extract activity features manually to identify activities. As a result, the identification of activity with different people is less accurate. Mashiyama et al. ...
doi:10.1109/access.2021.3084926
fatcat:rgcbee4ltrhdrmw363jaweukru
Assisted living technologies for older adults
2012
Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Link *See: A Tutorial Introduction to Automated Activity and Intention Recognition by Sebastian Bader, Thomas Kirste. ...
A., Fausset, C. B.,
Rogers, W. A. (2011). Atlanta, GA: Georgia Institute of Technology, School of Psychology, Human Factors and Aging Laboratory. ...
doi:10.1145/2110363.2110478
dblp:conf/ihi/Rashidi12
fatcat:vavobpvbqzfslm4343duxh7yfe
C2FHAR: Coarse-to-Fine Human Activity Recognition with Behavioral Context Modeling using Smart Inertial Sensors
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Smart sensing devices are furnished with an array of sensors, including locomotion sensors, which enable continuous and passive monitoring of human activities for the ambient assisted living. ...
Moreover, it is essential to infer a user's behavioral context along with the physical activity to enable context-aware and knowledge-driven applications in real-time. ...
These FGAs are related to the static activities of sitting and standing with the corresponding behavioral contexts. ...
doi:10.1109/access.2020.2964237
fatcat:zxmbpn3elrbelowwfldib3vhyi
Accelerometry-Based Classification of Human Activities Using Markov Modeling
2011
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
wearable sensor systems are proposed for long-term monitoring. ...
This paper is concerned with the machine learning algorithms needed to perform the classification task. ...
They are also grateful to the anonymous reviewers for their valuable comments, which helped improving the quality of the paper. ...
doi:10.1155/2011/647858
pmid:21904542
pmcid:PMC3166724
fatcat:hqhesa5ncre6lnerbdtjcoenhy
« Previous
Showing results 1 — 15 out of 610 results