An Assistive Object Recognition System for Enhancing Seniors Quality of Life

With the aging of the population, the senior people’s quality of life has become a hot issue in China and even in the world. This study, with emotion as the core, evaluated the senior citizens’ quality of life in the form of scales to explore the relationship between emotion and human health. Artificial intelligent identification system has developed rapidly in this society and has made great contributions to the development of human society. Combining artificial intelligent identification system with medicine will contribute to the development of human public health, which is of great significance and value.

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Proposing an Image Enhancement Algorithm Using CNN for Applications of Face Recognition System

Journal of Advances in Mathematics and Computer Science ◽

10.9734/jamcs/2019/v34i630230 ◽

2020 ◽

pp. 1-14

Author(s):

Phat Nguyen Huu ◽

Loc Hoang Bao ◽

Hoang Lai The

Keyword(s):

Neural Network ◽

Computer Vision ◽

Face Recognition ◽

Object Recognition ◽

Facial Recognition ◽

Recognition Rate ◽

Recognition System ◽

Extreme Weather Events ◽

Face Recognition System

Many researches have been going on since last two decades for object recognition, shape matching, and pattern recognition in the field of computer vision. Face recognition is one of the important issues in object recognition and computer vision. Many face image datasets, related competitions, and evaluation programs have encouraged innovation, producing more powerful facial recognition technology with promising results. In recent years, we have witnessed tremendous improvements in face recognition performance from complex deep neural network architectures trained on millions of face images. Face recognition is the most important biometric and stills many challenges such as pose variation, illumination variation, etc. In order to achieve the desired performance when deploying in reality, the methods depend on many factors. One of the main factors is quality of input image. Therefore, facial recognition systems is installed outdoors which are always affected by extreme weather events such as haze, fog. The existence of haze dramatically degrades the visibility of outdoor images captured in inclement weather and affects many high-level computer vision tasks such as detection and recognition system. In this paper, we propose a preprocessing method to remove haze from input images that enhances their quality to improve effectiveness and recognition rate for face identification based on Convolutional Neural Network (CNN) based on the available datasets and our self-built data. To perform the proposed method for outdoor face recognition system, we have improved the system accuracy from 90.53% to 98.14%. The results show that the proposed method improves the quality of the image with other traditional methods.

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A Novel FPGA-Based Intent Recognition System Utilizing Deep Recurrent Neural Networks

Electronics ◽

10.3390/electronics10202495 ◽

2021 ◽

Vol 10 (20) ◽

pp. 2495

Author(s):

Kyriaki Tsantikidou ◽

Nikolaos Tampouratzis ◽

Ioannis Papaefstathiou

Keyword(s):

Neural Network ◽

Quality Of Life ◽

Recurrent Neural Networks ◽

Recognition System ◽

Reconfigurable Hardware ◽

High Level Synthesis ◽

Intent Recognition ◽

High Level ◽

And Control

In recent years, systems that monitor and control home environments, based on non-vocal and non-manual interfaces, have been introduced to improve the quality of life of people with mobility difficulties. In this work, we present the reconfigurable implementation and optimization of such a novel system that utilizes a recurrent neural network (RNN). As demonstrated in the real-world results, FPGAs have proved to be very efficient when implementing RNNs. In particular, our reconfigurable implementation is more than 150× faster than a high-end Intel Xeon CPU executing the reference inference tasks. Moreover, the proposed system achieves more than 300× the improvements, in terms of energy efficiency, when compared with the server CPU, while, in terms of the reported achieved GFLOPS/W, it outperforms even a server-tailored GPU. An additional important contribution of the work discussed in this study is that the implementation and optimization process demonstrated can also act as a reference to anyone implementing the inference tasks of RNNs in reconfigurable hardware; this is further facilitated by the fact that our C++ code, which is tailored for a high-level-synthesis (HLS) tool, is distributed in open-source, and can easily be incorporated to existing HLS libraries.

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Loss Architecture Search for Few-Shot Object Recognition

Complexity ◽

10.1155/2020/1041962 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Jun Yue ◽

Zelang Miao ◽

Yueguang He ◽

Nianchun Du

Keyword(s):

Object Recognition ◽

Learning Community ◽

Loss Function ◽

Search Space ◽

Recognition System ◽

Learning Framework ◽

Network Generator ◽

Validation Set ◽

Fine Tune

Few-shot object recognition, which exploits a set of well-labeled data to build a classifier for new classes that have only several samples per class, has received extensive attention from the machine learning community. In this paper, we investigate the problem of designing an optimal loss function for few-shot object recognition and propose a novel few-shot object recognition system that includes the following three steps: (1) generate a loss function architecture using a recurrent neural network (generator); (2) train a base embedding network with the generated loss function on a training set; (3) fine-tune the base embedding network using the few-shot instances from a validation set to obtain the accuracy and use it as a reward signal to update the generator. This procedure is repeated and implemented in the reinforcement learning framework for finding the best loss architecture such that the embedding network yields the highest validation accuracy. Our key insight is to create a search space of the loss function architectures and evaluate the quality of a particular loss function on the dataset of interest. We conduct experiments on three popular datasets for few-shot learning. The results show that the proposed approach achieves better performance than state-of-the-art methods.

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Self-Compassion and Quality of Life in Adults Who Stutter

American Journal of Speech-Language Pathology ◽

10.1044/2020_ajslp-20-00055 ◽

2020 ◽

Vol 29 (4) ◽

pp. 2097-2108

Author(s):

Robyn L. Croft ◽

Courtney T. Byrd

Keyword(s):

Quality Of Life ◽

Social Connectedness ◽

The Self ◽

Future Research ◽

Self Compassion ◽

Adults Who Stutter ◽

And Gender ◽

Relationship Of ◽

The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

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Misophonia: An Evidence-Based Case Report

American Journal of Audiology ◽

10.1044/2020_aja-19-00111 ◽

2020 ◽

Vol 29 (4) ◽

pp. 685-690

Author(s):

C. S. Vanaja ◽

Miriam Soni Abigail

Keyword(s):

Quality Of Life ◽

Case Report ◽

Case History ◽

Pure Tone ◽

Physiological Responses ◽

Evidence Based ◽

Management Option ◽

Pure Tone Audiogram

Purpose Misophonia is a sound tolerance disorder condition in certain sounds that trigger intense emotional or physiological responses. While some persons may experience misophonia, a few patients suffer from misophonia. However, there is a dearth of literature on audiological assessment and management of persons with misophonia. The purpose of this report is to discuss the assessment of misophonia and highlight the management option that helped a patient with misophonia. Method A case study of a 26-year-old woman with the complaint of decreased tolerance to specific sounds affecting quality of life is reported. Audiological assessment differentiated misophonia from hyperacusis. Management included retraining counseling as well as desensitization and habituation therapy based on the principles described by P. J. Jastreboff and Jastreboff (2014). A misophonia questionnaire was administered at regular intervals to monitor the effectiveness of therapy. Results A detailed case history and audiological evaluations including pure-tone audiogram and Johnson Hyperacusis Index revealed the presence of misophonia. The patient benefitted from intervention, and the scores of the misophonia questionnaire indicated a decrease in the severity of the problem. Conclusions It is important to differentially diagnose misophonia and hyperacusis in persons with sound tolerance disorders. Retraining counseling as well as desensitization and habituation therapy can help patients who suffer from misophonia.

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Quality of Life of Youth With Hearing Loss

ASHA Leader ◽

10.1044/leader.ftr3.15152010.5 ◽

2010 ◽

Vol 15 (15) ◽

pp. 5-6

Author(s):

Anne Skalicky ◽

Brenda Schick ◽

Donald Patrick

Keyword(s):

Quality Of Life ◽

Hearing Loss

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Assessing Quality of Life With Aphasia: An Annotated Bibliography

Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders ◽

10.1044/nnsld15.4.15 ◽

2005 ◽

Vol 15 (4) ◽

pp. 15-18 ◽

Cited By ~ 2

Author(s):

Katherine B. Ross

Keyword(s):

Quality Of Life ◽

Annotated Bibliography

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Thinking Beyond Language: Intervention for Severe Aphasia

Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders ◽

10.1044/nnsld19.1.15 ◽

2009 ◽

Vol 19 (1) ◽

pp. 15-22 ◽

Cited By ~ 3

Author(s):

Nina Simmons-Mackie

Keyword(s):

Quality Of Life ◽

Communication Training ◽

Language Intervention ◽

Specific Training ◽

Environmental Support ◽

Total Communication ◽

Communication Partners

Abstract Purpose: This article addresses several intervention approaches that aim to improve life for individuals with severe aphasia. Because severe aphasia significantly compromises language, often for the long term, recommended approaches focus on additional domains that affect quality of life. Treatments are discussed that involve increasing participation in personally relevant life situations, enhancing environmental support for communication and participation, and improving communicative confidence. Methods: Interventions that have been suggested in the aphasia literature as particularly appropriate for people with severe aphasia include training in total communication, training of communication partners, and activity specific training. Conclusion: Several intervention approaches can be implemented to enhance life with severe aphasia.

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Chronic Refractory Cough: A Case Study

Perspectives of the ASHA Special Interest Groups ◽

10.1044/persp2.sig3.57 ◽

2017 ◽

Vol 2 (3) ◽

pp. 57-62

Author(s):

Anna Maria Siciliano

Keyword(s):

Quality Of Life ◽

Adult Female ◽

Chronic Cough ◽

Treatment Regime ◽

Speech Language Pathology ◽

Old Adult ◽

Language Pathology

This paper presents a successful behavioral case study in treatment of chronic refractory cough in a 60-year-old adult female. The efficacy for speech-language pathology treating chronic cough is discussed along with description of treatment regime. Discussion focuses on therapy approaches used and the patient's report of changes in quality of life and frequency, duration, and severity reduction of her cough after treatment.

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