Running gait assessment is essential for the development of technical optimization strategies as well to inform injury prevention and rehabilitation. Currently, running relies on (i) visual assessment, exhibiting subjectivity limited reliability, or (ii) use instrumented approaches, which often carry high costs can be intrusive due attachment equipment body. Here, an IoT-enabled markerless computer vision smartphone application based upon Google’s pose estimation model BlazePose was...

Technology is advancing at an extraordinary rate. Continuous flows of novel data are being generated with the potential to revolutionize how we better identify, treat, manage, and prevent disease across therapeutic areas. However, lack security confidence in digital health technologies hampering adoption, particularly for biometric monitoring (BioMeTs) where frontline healthcare professionals struggling determine which BioMeTs fit-for-purpose context. Here, discuss challenges adoption offer...

Gait assessment is essential to understand injury prevention mechanisms during running, where high-impact forces can lead a range of injuries in the lower extremities. Information regarding running style increase efficiency and/or selection correct equipment, such as shoe type, minimize risk injury, e.g., matching runner's gait particular set cushioning technologies found modern shoes (neutral/support cushioning). Awareness training or equipment requires an understanding biomechanics,...

Wearing inappropriate running shoes may lead to unnecessary injury through continued strain upon the lower extremities; potentially damaging a runner's performance. Many technologies have been developed for accurate shoe recommendation, which centre on gait analysis. However, these often require supervised use in laboratory/shop or exhibit too high cost personal use. This work addresses need deployable, inexpensive product with ability accurately assess shoe-type recommendation. was achieved...

Mild traumatic brain injury (mTBI or concussion) is receiving increased attention due to the incidence in contact sports and limitations with subjective (pen paper) diagnostic approaches. If an mTBI undiagnosed athlete prematurely returns play, it can result serious short-term and/or long-term health complications. This demonstrates importance of providing more reliable tools mitigate misdiagnosis. Accordingly, there a need develop efficient objective approaches computationally robust...

With the recent booming of artificial intelligence (AI), particularly deep learning techniques, digital healthcare is one prevalent areas that could gain benefits from AI-enabled functionality. This research presents a novel Internet Things (IoT) device operating ESP-8266 platform capable assisting those who suffer impairment hearing or deafness to communicate with others in conversations. In proposed solution, server application created leverages Google's online speech recognition service...

Falls due to compromised mobility issues in older adults (e.g., those with Parkinson's Disease, PD) indicate the necessity for accurate assessment and methods targeted rehabilitation. The latter often focuses on gait retraining an auditory cue but requires a baseline assessment. Inertial measurement units (IMUs) have emerged as more readily deployable method compared traditional instrumented walkways. IMUs are near ubiquitous technology they found smartphones. pilot work presented here...

Running gait assessment and running shoe recommendation is important for the injury prevention of runners who exhibit different skill-levels styles. Traditionally, relies upon a combination trained professionals (e.g., sports-therapists, physiotherapists) complex equipment such as motion or pressure sensors, often incurring high-cost to consumer. Despite this, assessments are still prone subjectivity, may differ between assessors. Alternatively, methods provide low-cost, reproduceable has...

Running gait assessment for shoe type recommendation to avoid injury often takes place within commercial premises. That is not representative of a natural running environment and may influence normal/usual characteristics. Typically, assessments are costly performed by an untrained biomechanist or physiotherapist. Thus, use low-cost recommend warranted. Indeed, the recent impact COVID has heightened need shift toward remote in general due social-distancing guidelines restriction movement...

The most common malignancies in the world are skin cancers, with melanomas being lethal.The emergence of Convolutional Neural Networks (CNNs) has provided a highly compelling method for medical diagnosis.This research therefore conducts transfer learning grid search based hyper-parameter fine-tuning using six state-ofthe-art CNN models classification benign nevus and malignant melanomas, then exported, implemented, tested on proof-of-concept Android application.Evaluated Dermofit Image...

Contemporary approaches to gait assessment use wearable within free-living environments capture habitual information, which is more informative compared data in the lab. Wearables range from inertial camera-based technologies but pragmatic challenges such as analysis of big heterogenous exist. For example, camera often requires manual time-consuming subjective contextualization, labelling terrain type. There a need for application automated those suggested by artificial intelligence (AI)...

Running gait assessment is critical in performance optimization and injury prevention. Traditional approaches to running are inhibited by unnatural environments (e.g., indoor lab), varied assessor (i.e., subjective experience) high costs with traditional reference standard equipment. Thus, development of valid, reproduceable low-cost key. Use wearables such as inertial measurement units have shown promise but despite their flexible use any environment reduced cost, they often retain...

Traditionally, gait analysis is carried out in controlled settings, conducted by a trained professional which can limit reproducibility, validity, and inter-rater reliability. Recently, wearable inertial measuring units (IMUs) have been used to objectively measure characteristics. However, the need for manual attachment as well data extraction analysis, create practical limitations, especially within low-resource environments. Lightweight artificial intelligence (AI) models scalable direct...

With the recent booming of artificial intelligence (AI), particularly deep learning techniques, digital healthcare is one prevalent areas that could gain benefits from AI-enabled functionality. This research presents a novel Internet Things (IoT) device operating ESP-8266 platform capable assisting those who suffer impairment hearing or deafness to communicate with others in conversations. In proposed solution, server application created leverages Google's online speech recognition service...