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Hand pose estimation is a computer vision challenge that consists of detecting the coordinates of a hand’s key points in an image. This research investigates several deep learning-based solutions to determine whether or not it is possible to improve current state-of-the-art detectors for smartphone applications. Several models are tested and compared based on accuracy, processing speed and memory size. A final network is selected and detailed to compare it to the state-of-the-art. The proposed solution is obtained by combining the Differentiable Spatial to Numerical Transform layer to predict numerical coordinates together with the Fire module presented in the SqueezeNet architecture. This deep neural network contains around 1 million parameters and is able to outperform the current best documented model in all the metrics described above. A qualitative analysis is also performed to examine the predictions of the final solution on test images. / Att bestämma en hands orientering är en utmaning inom bildanalys som består i att detektera koordinaterna för olika nyckelpunkter för handen i en bild. I denna studie undersöks ett antal metoder baserade på djupinlärning för att avgöra huruvida det är möjligt att förbättra existerande detektorer för tillämpningar på smartphones. Flera olika modeller testas och jämförs baserat på noggrannhet, beräkningshastighet och minneskrav. Ett slutligt nätverk väljs, analyseras och jämföras med nuvarande state-of-the-art teknik. Den lösning som föreslås erhålls genom att kombinera ett så kallat Differentiable Spatial to Numerical Transform-lager, för att förutsäga numeriska koordinater, tillsammans med en så kallad Fire-modul som tidigare presenteras som en del av arkitekturen SqueezeNet. Detta djupa neurala nätverk innehåller cirka en miljon parametrar och kan överträffa den nuvarande mest dokumenterade modellen i alla de avseenden som beskrivits ovan. En kvalitativ analys utförs också för att undersöka den slutliga lösningens uppskattningar på testbilder.

<p>UVOD: Artroza &scaron;aka predstavlja jednu od najče&scaron;ćih mi&scaron;ićno-skeletnih bolesti. Manifestuje se bolom, nekada otokom, deformacijom i gubitkom funkcije &scaron;aka. Postoje različita mi&scaron;ljenja o povezanosti osteoartroze (OA) i osteoporoze (OP) kao dva najče&scaron;a skeletna poremećaja. CILJ: istraživanja je da se utvrde faktori rizika za nastanak OA &scaron;aka, uporedi mineralna ko&scaron;tana gustina kod pacijenata sa OA &scaron;aka sa kontrolnom grupom i utvrdi značaj metaboličkog sindroma kod pacijenata sa OA &scaron;aka. MATERIJAL I METODE: Istraživanje je obavljeno u periodu od jedne godine kod bolesnika sa OA &scaron;aka &ndash; eksperimentalna grupa, i u kontrolnoj grupi bez OA. OA &scaron;aka je definisana na osnovu bola, klinički prisutnih deformiteta &scaron;aka kod žena u postmenopauzi starosne dobi od 60-70 godina i radiografskih promena ( drugog do četvrtog stepena prema Kellgren-Lowrencovoj skali). Analizirani su faktori rizika odgovorni za nastanak OA &scaron;aka, povezanost OA &scaron;aka sa snagom stiska &scaron;ake, mineralnom ko&scaron;tanom gustinom i metaboličkim sindromom. Analazirirana je i funkcija &scaron;ake pomoću tri validirana upitnika: Michigan Hand Outcomes Questionnaire (MHQ, Duruoz Hand Indeks (DHI), Health Assessment Questionnaire (PROMIS HAQ). Statistička obrada podataka rađena je u programu SPSS verzija 25. REZULTATI: Prosečna starost pacijentkinja je bila 65,89&plusmn;3,67 godina. Eksperimentalna i kontrola grupa se statistički razlikuju prema porodičnoj anamnezi o strukturnim promenama zglobova &scaron;aka, prema bolnosti &scaron;aka u miru, bolnosti &scaron;aka pri palpaciji, uzdržavanju od pokreta prstiju &scaron;aka, snage stiska &scaron;ake, metaboličkom sindromu( p&lt;0,001). Kao značajni prediktori za nastanak osteoartroze &scaron;aka su se izdvojili pozitivna porodična anamneza o strukturnim promenama za zglobovima &scaron;aka i metabolički sindrom ( p&lt;0,001). Utvrđen je veći broj ispitanica sa normalnom ko&scaron;tanom gustinom u kontrolnoj grupi. Eksperimentalna grupa bolesnica imala je lo&scaron;iju funkciju &scaron;ake, odnosno lo&scaron;iji skor primenom validiranih upitnika ( p &lt;0,001). ZAKLJUČAK: Pacijentkinje sa izraženom osteoartrozom &scaron;aka imaju smanjenu funkciju &scaron;ake, če&scaron;ći metabolički sindrom u odnosu na kontrolnu grupu, ali ne i značajno nižu ko&scaron;tanu gustinu.</p> / <p>INTRODUCTION: Arthritis of the hand is one of the most common musculoskeletal disorders. It manifests as pain, sometimes accompanied by swelling and deformities, which may lead to the loss of hand function. However, there is no consensus on the relationship between osteoarthritis (OA) and osteoporosis (OP) as the two most common skeletal disorders. AIMS: The study aim was to determine the risk factors related to the development of OA in the hand, as well as compare the bone density in patients with hand OA (HOA) with that measured in the control group and establish the significance of metabolic syndrome in the HOA group. MATERIAL AND METHODS: The study was conducted over a 12-month period and included a sample comprising of the experimental (patients affected by HOA) and the control (individuals with no evidence of HOA) group. HOA was diagnosed based on the reported pain, clinical evidence of hand deformities in postmenopausal women aged 60&minus;70, and radiological evidence of physiological changes (Grade II to IV, based on the Kellgren-Lowrence scale). The risk factors for the development of HOA were analyzed, along with the link between HOA and hand grip strength, bone mineral density and metabolic syndrome. Analyses also included had function, as determined by three validated questionnaires: Michigan Hand Outcomes Questionnaire (MHQ), Duruoz Hand Index (DHI), and Health Assessment Questionnaire (PROMIS HAQ). Statistical analyses were performed using the SPSS version 25 computer software. RESULTS: The average age of the sample was 65.89&plusmn;3.67 years. There were statically significant differences between the experimental and the control group with respect to the family history of structural changes in the hand joints, perceived hand pain at rest and when palpated, reluctance to utilize fingers, hand grip strength, and metabolic syndrome (p &lt; 0.001). Family history of structural changes to the hand joints and metabolic syndrome emerged as the strongest predictors of the osteoarthritis of the hand development (p &lt; 0.001). A greater number of the control group members had normal bone mineral density, while the patients assigned to the experimental group had inferior hand function, as determined by the score on the aforementioned validated questionnaires (p &lt; 0.001). CONCLUSION: Postmenopausal women with pronounced osteoarthritis of the hand have reduced hand function, and are more likely to suffer from a metabolic syndrome relative to the control group, while the differences in bone mineral density are not statistically significant.</p>