Explore the vast range of titles available.

\"Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems\"-- Provided by publisher.

AimFrom the most recent data the magnitude of visual impairment and its causes in 2010 have been estimated, globally and by WHO region. The definitions of visual impairment are the current definitions of presenting vision in the International Classification of Diseases version 10.MethodsA systematic review was conducted of published and unpublished surveys from 2000 to the present. For countries without data on visual impairment, estimates were based on newly developed imputation methods that took into account country economic status as proxy.ResultsSurveys from 39 countries satisfied the inclusion criteria for this study. Globally, the number of people of all ages visually impaired is estimated to be 285 million, of whom 39 million are blind, with uncertainties of 10–20%. People 50 years and older represent 65% and 82% of visually impaired and blind, respectively. The major causes of visual impairment are uncorrected refractive errors (43%) followed by cataract (33%); the first cause of blindness is cataract (51%).ConclusionThis study indicates that visual impairment in 2010 is a major health issue that is unequally distributed among the WHO regions; the preventable causes are as high as 80% of the total global burden.

This book presents an emerging rehabilitation program for improving the reading abilities of individuals with low vision who undergo therapy for visual impairment. Its interdisciplinary framework for visual training through reading skills development aligns its goals with those of special education programs and features anatomical and psychological background chapters, diverse perspectives on rehabilitation, and empirical supporting data. Program details span theoretical bases, strategies and planning, pedagogical considerations, use of assistive technologies, and assessment of client progress and program efficacy. And by locating rehabilitation in the psychosocial experience of visual disability, the program can be used as a means of building confidence and motivation, contributing to improved quality of life.

Assessment of anxiety and depression in patients attending low vision care (LVC) using Hospital Anxiety and Depression Scale (HADS). In this prospective, observational study, 100 patients with best-corrected visual acuity (BCVA) worse than 6/18 in the better eye or limitation of field of vision to <10° from center of fixation were assessed on the depression and anxiety subscales of HADS questionnaire before and after LVC. HADS is a 14-item scale with seven items each for anxiety and depression subscales. Scoring for each item ranges from zero to three. A subscale score >8 denotes anxiety or depression. Mean age at presentation was 38.2 years. Mean duration of symptoms was 9.6 years. Underlying etiology of visual impairment included retinal dystrophy/degeneration (n = 35), disorders of the optic nerve (n = 17), glaucoma (n = 10), diabetic retinopathy (n = 9), age-related macular degeneration (n = 5), uncorrected refractive errors (n = 5), and miscellaneous diseases (n = 19). Mean presenting BCVA in the better eye was 0.83 (±0.64) which improved significantly to 0.78 (±0.63) after LVC (P < 0.001). The HADS-Depression subscale score was comparable for severity of visual impairment for both distance (P = 0.57) and near vision (P = 0.61). Similarly, HADS-Anxiety scores were also comparable for severity of distance (P = 0.34) and near-visual impairment (NVI; P = 0.50). At baseline, mean HADS-Depression and HADS-Anxiety scores were 8.4 (±3.7) and 9.6 (±4.3) points, which improved significantly to 6.0 (±3.4) and 6.7 (±3.7), respectively, after low-vision correction (P < 0.001). Low vision correction can significantly improve anxiety and depression indicators in visually impaired patients.

Central vision loss (CVL) is a major form of low vision that remains inadequately managed worldwide. This study evaluated the clinical efficacy of a novel head-mounted device (HMD), Onyx, designed to enhance visual function and vision-related quality of life for CVL patients. It employs a projection system that enables patients to leverage their residual peripheral vision for environmental awareness. It also integrates artificial intelligence to augment the automatic recognition of text, faces, and objects. In this single-center, prospective cohort study, 41 binocularly low vision patients with CVL were instructed to use Onyx for 4 to 6 h daily over a one-month period. Various metrics were assessed, including near and distance visual acuity (VA), recognition abilities for faces and objects, and the low vision quality-of-life (LVQOL) questionnaire scores, at the start and end of the study. The results showed significant improvements in near VA for 60.98% of the participants, distance VA for 80.49%, and recognition ability for 90.24%. 68.29% of the participants showed significant improvements in the LVQOL scores. Improvement in recognition ability was negatively correlated with baseline recognition ability. Additionally, improvement in the LVQOL scores was correlated with age and the baseline LVQOL score. Overall, the study found that the novel HMD significantly improved visual function and vision-related quality of life for low vision patients with CVL, highlighting the potential benefits and the need for further evaluation of such devices.

To assess the number of individuals visually impaired or blind due to glaucoma and to examine regional differences and temporal changes in this parameter for the period from 1990 to 2012. As part of the Global Burden of Diseases (GBD) Study 2010, we performed a systematic literature review for the period from 1980 to 2012. We primarily identified 14,908 relevant manuscripts, out of which 243 high-quality, population-based studies remained after review by an expert panel that involved application of selection criteria that dwelt on population representativeness and clarity of visual acuity methods used. Sixty-six specified the proportion attributable to glaucoma. The software tool DisMod-MR (Disease Modeling-Metaregression) of the GBD was used to calculate fraction of vision impairment due to glaucoma. In 2010, 2.1 million (95% Uncertainty Interval (UI):1.9,2.6) people were blind, and 4.2 (95% UI:3.7,5.8) million were visually impaired due to glaucoma. Glaucoma caused worldwide 6.6% (95% UI:5.9,7.9) of all blindness in 2010 and 2.2% (95% UI:2.0,2.8) of all moderate and severe visual impairment (MSVI). These figures were lower in regions with younger populations (<5% in South Asia) than in high-income regions with relatively old populations (>10%). From 1990 to 2010, the number of blind or visually impaired due to glaucoma increased by 0.8 million (95%UI:0.7, 1.1) or 62% and by 2.3 million (95%UI:2.1,3.5) or 83%, respectively. Percentage of global blindness caused by glaucoma increased between 1990 and 2010 from 4.4% (4.0,5.1) to 6.6%. Age-standardized prevalence of glaucoma related blindness and MSVI did not differ markedly between world regions nor between women. By 2010, one out of 15 blind people was blind due to glaucoma, and one of 45 visually impaired people was visually impaired, highlighting the increasing global burden of glaucoma.

Background Severe fatigue is a common symptom for people with visual impairment, with a detrimental effect on emotional functioning, cognition, work capacity and activities of daily living. A previous study found that depression was one of the most important determinants of fatigue, but less is known about disease-specific factors in this patient population. This study aimed to explore the association between visual impairment severity and fatigue in adults with low vision, both directly and indirectly, with vision-specific factors and depression as potential mediators. Methods Cross-sectional data were collected from 220 Dutch low vision service patients by telephone interviews. Fatigue was defined as a latent variable by severity and impact on daily life. Potential mediators included vision-related symptoms, adaptation to vision loss and depression. Hypothesized structural equation models were constructed in Mplus to test (in)direct effects of visual impairment severity (mild/moderate, severe, blindness) on fatigue through above mentioned variables. Results The final model explained 60% of fatigue variance and revealed a significant total effect of visual impairment severity on fatigue. Patients with severe visual impairment (reference group) had significantly higher fatigue symptoms compared to those with mild/moderate visual impairment (β = -0.50, 95% bias-corrected confidence interval [BC CI] [-0.86, -0.16]) and those with blindness (β = -0.44, 95% BC CI [-0.80, -0.07]). Eye strain & light disturbance, depression and vision-related mobility mediated the fatigue difference between the severe and mild/moderate visual impairment categories. The fatigue difference between the severe visual impairment and blindness categories was solely explained by eye strain & light disturbance. Moreover, depressive symptoms (β = 0.65, p  < 0.001) and eye strain & light disturbance (β = 0.19, p  = 0.023) were directly associated with fatigue independent of visual impairment severity. Conclusions Our findings indicate an inverted-U shaped relationship between visual impairment severity and fatigue in patients with low vision. The complexity of this relationship is likely explained by the consequences of visual impairment, in particular by strained eyes and depressive mood, rather than by severity of the disability itself.

BackgroundAge-related macular degeneration (AMD) causes reading impairment, reduced quality of life (QoL), and secondary depression. We have shown that support with magnifying aids improved reading speed (RS), emotional and cognitive status, and QoL. The present study investigates whether additional reading training (RT) (after adapting to appropriate visual aids) can further improve vision rehabilitation.MethodsPatients with dry AMD were randomly assigned to 2 groups. The primary RT group (P-RTG, n = 25) trained with sequentially presented text (RSVP), and the control group (CG, n = 12) performed placebo training (crossword puzzles) and later crossed over to RT, so that altogether 37 participants performed reading training. Patients trained at home on a PC for 6 weeks. RS was assessed during reading printed paragraphs of text aloud. Using a scanning laser ophthalmoscope, we examined fixation stability and preferred retinal locus (PRL) for fixating a cross, as well as PRL and eye movements during reading single words. We assessed emotional status by Montgomery–Åsberg Depression Rating Scale (MADRS), cognitive status by dementia detection test (DemTect) and QoL by Impact of Vision Impairment (IVI) profile. Visual acuity and magnification requirement were examined by standard procedures. All variables were measured before and after placebo training, before and after RT, and after 6 weeks without training (follow-up).ResultsRS improved significantly in the P-RTG during RT, but not in the CG during placebo training. The effect remained stable at follow-up. Fixation performance and eye movement variables did not change. Emotional status (MADRS) improved in P-RTG during RT and showed a significant difference of the change of scores between the 2 groups.Complete IVI scores improved significantly during RT and remained stable.ConclusionThe results indicate that patients with AMD, who already use magnifying aids, benefit from additional RT and that it can contribute in preventing depression and improve QoL.Trial registrationThe study was registered at the German Clinical Trials Register (DRKS00015609).

IntroductionDevelopments in image processing techniques and display technology have led to the emergence of augmented reality (AR) and virtual reality (VR)–based low vision devices (LVDs). However, their promise and limitations in low vision rehabilitation are poorly understood. The objective of this systematic review is to appraise the application of AR/VR LVDs aimed at visual field expansion and visual acuity improvement in low vision rehabilitation.MethodsA systematic search of the literature was performed using MEDLINE, Embase, PsychInfo, HealthStar, and National Library of Medicine (PubMed) from inception to March 6, 2022. Articles were eligible if they included an AR or VR LVD tested on a sample of individuals with low vision and provided visual outcomes such as visual acuity, visual fields, and object recognition.ResultsOf the 652 articles identified, 16 studies comprising 382 individuals with a mean age of 52.17 (SD = 18.30) years, and with heterogeneous low vision etiologies (i.e., glaucoma, age-related macular degeneration, retinitis pigmentosa) were included in this systematic review. Most articles used AR (53%), VR (40%), and one article used both AR and VR. The main visual outcomes evaluated were visual fields (67%), visual acuity (65%), and contrast sensitivity (27%). Various visual enhancement techniques were employed including variable magnification using digital zoom (67%), contrast enhancements (53%), and minification (27%). AR LVDs were reported to expand the visual field from threefold to ninefold. On average, individuals using AR/VR LVDs experienced an improved in visual acuity from 0.9 to 0.2 logMAR. Ten articles were classified as high or moderate risk of bias.ConclusionAR/VR LVDs were found to afford visual field expansion and visual acuity improvement in low vision populations. Even though the results of this review are promising, the lack of controlled studies with well-defined populations, use of small, convenience samples, and incomplete reporting of inclusion and exclusion criteria among included studies makes it challenging to judge the true impact of these devices. Future studies should address these limitations and compare various AR/LVDs to determine what is the ideal LVD type and vision enhancement combination based on the user’s level of visual ability and lifestyle.