A Measurement System to Monitor Postural Behavior: Strategy Assessment and Classification Rating

Andò, B.; Marletta, Vincenzo; Baglio, Salvatore; Crispino, Ruben; Mostile, Giovanni; Dibilio, Valeria; Zappia, Mario

doi:10.1109/tim.2020.2967498

Cited by 22 publications

(16 citation statements)

References 26 publications

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“…In terms of daily activity monitoring and medical applications, they have been studied for nearly three decades with the use of wearable sensors. Many medical studies deal with the investigation of human gait, for example, for patients with the Parkinson’s disease [ 6 ].…”

Section: Related Workmentioning

confidence: 99%

AI-enabled prediction of video game player performance using the data from heterogeneous sensors

Smerdov

Somov

Burnaev

et al. 2022

Multimed Tools Appl

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The emerging progress of video gaming and eSports lacks the tools for ensuring high-quality analytics and training in professional and amateur eSports teams. We report on an Artificial Intelligence (AI) enabled solution for predicting the eSports player in-game performance using exclusively the data from sensors. For this reason, we collected the physiological, environmental, and the smart chair data from professional and amateur players. The player performance is assessed from the game logs in a multiplayer game for each moment of time using a recurrent neural network. We have investigated an attention mechanism improves the generalization of the network and provides a straightforward feature importance as well. The best model achieves Area Under the Receiver Operating Characteristic Curve (ROC AUC) score 0.73 in predicting whether a player will perform better or worse in the next 240 seconds based on in-game metrics. The prediction of the performance of a particular player is realized although their data are not utilized in the training set. The proposed solution has a number of promising applications for professional eSports teams and amateur players, such as a learning tool or performance monitoring system.

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Section: Related Workmentioning

confidence: 99%

AI-enabled prediction of video game player performance using the data from heterogeneous sensors

Smerdov

Somov

Burnaev

et al. 2022

Multimed Tools Appl

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“…The use of an IMU and dedicated signal processing to analyze postural status in Alzheimer patients is presented in [ 9 ]. In [ 22 ], features extracted by stabilograms were used to implement a postural sway assessment strategy. The work exploited a threshold algorithm to distinguish among stable and unstable postural behaviors.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 30 ], the authors proposed a methodology for the postural-instability-detection-exploiting features provided by the DWT theory and a threshold-based classification strategy. In [ 22 ], features extracted by the time evolution of Antero-Posterior and Medio-Lateral Displacements were used with a threshold-based paradigm to detect potential instability in the postural behavior. ROC curves theory was used to estimate the optimal thresholds for each adopted feature.…”

Section: Introductionmentioning

confidence: 99%

“…The main outcomes of this work may be summarized as follow: Performing a comparison among different strategies for postural sway analysis, aiming to distinguish among stable and potential instable postural behaviors; Stimulating the idea of using a combined threshold-based and NF approaches to detect potential postural instabilities, considering limitations given by the low reliability of the former and difficulty of implementation in real-time embedded nodes of the latter, as discussed in Section 4 ; The definition of metrics for the assessment of the proposed methodology; The definition of a performance index rating the reliability of the postural sway detection; Testing the new approach of using DWT to extract suitable features representing the postural sway dynamics in combination with an NF strategy to implement a methodology for postural instability detection; The use of a wider dataset, with respect to [ 22 , 39 ], allowing for the performance of a better assessment of the different proposed methodologies; The analysis of robustness against noisy data, which demonstrates that the NF approach performs better than threshold-based algorithms, especially in the presence of noisy data. …”

Section: Introductionmentioning

confidence: 99%

“…The use of a wider dataset, with respect to [ 22 , 39 ], allowing for the performance of a better assessment of the different proposed methodologies;…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Comparison among Different Strategies to Detect Potential Unstable Behaviors in Postural Sway

Andò

Baglio

Graziani

et al. 2022

Sensors

Self Cite

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Assistive Technology helps to assess the daily living and safety of frail people, with particular regards to the detection and prevention of falls. In this paper, a comparison is provided among different strategies to analyze postural sway, with the aim of detecting unstable postural status in standing condition as precursors of potential falls. Three approaches are considered: (i) a time-based features threshold algorithm, (ii) a time-based features Neuro-Fuzzy inference system, and (iii) a Neuro-Fuzzy inference fed by Discrete-Wavelet-Transform-based features. The analysis was performed across a wide dataset and exploited performance indexes aimed at assessing the accuracy and the reliability of predictions provided by the above-mentioned strategies. The results obtained demonstrate valuable performances of the three considered strategies in correctly distinguishing among stable and unstable postural status. However, the analysis of robustness against noisy data highlights better performance of Neuro-Fuzzy inference systems with respect to the threshold-based algorithm.

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Postural Sway Classification using Modified Vision Transformer

Nehary,

Rajan,

Ando

2023

2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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A Measurement System to Monitor Postural Behavior: Strategy Assessment and Classification Rating

Cited by 22 publications

References 26 publications

AI-enabled prediction of video game player performance using the data from heterogeneous sensors

AI-enabled prediction of video game player performance using the data from heterogeneous sensors

A Comparison among Different Strategies to Detect Potential Unstable Behaviors in Postural Sway

Postural Sway Classification using Modified Vision Transformer

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