Guillaume Tartare

Ecole d'ingénierie et d'innovation textile | ENSAIT

Commercial garment recommendation systems have been generally used in the apparel industry. However, existing research on digital garment design has focused on the technical development of the virtual design process, with little knowledge of traditional designers. The fit of a garment has a significant role in whether a customer purchases that garm...

The current three-dimensional human models used in the apparel industry are mostly rigid and lack semantic information on body positions and body parts. Therefore, it is difficult for designers to make accurate, fast and effective designs from these models. This paper proposes a new parametric three-dimensional human body model based on key positio...

Scoliosis is a deformity of the spine that causes disorders of the rib cage. This makes it difficult to design clothes for affected people without following the shape of the rib cage. This paper presents a new 3D clothing design method based on virtual reality for women with physical disabilities such as scoliosis. The current design method is a va...

Comfort can be considered as subjective feeling, which could be affected by the external ambient, by the physical activity, and by clothing. Considering the human body heat transfer system, it mainly depends on various parameters including clothing materials, external and internal environment, etc. The purpose of the current paper is to study and e...

Optimal ergonomic design for consumer goods (such as garments and furniture) cannot be perfectly realised because of imprecise interactions between products and human models. In this paper, we propose a new body classification method that integrates human skeleton features, expert experience, manual measurement methods, and statistical analysis (pr...

Peoples with spinal disability face a huge problem in the design and development of ergonomically fitted and comfortable clothing. Various research studies on the design and developments of functional clothing for scoliosis patients consider their morphological shapes. However, developing appropriate models of the complicated and deformed anatomica...

Scoliosis is one of the most frequently occurring morphological problems in people. People with such an abnormal curve of the spine face a huge problem, not only from the medical point of view but also from that of garment design and production processes. The current paper brings a novel designing technique to develop an adaptive 3D model of the co...

The needs in the sector of orthopedic insoles are becoming more important. The medical purpose of these plantar prostheses is often to correct the posture or bio-mechanical imbalance that tends to cause pain in various areas of the body depending on the pathology of the patient. This is due to the progression of people who are increasingly obese or...

Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptro...

Objectives: This paper presents a novel wearable system for in-home and long-term fetal movement monitoring on a reliable and easily accessible basis. Material and methods: The system mainly consists of four accelerometers for fetal movement signal acquisition, a microcontroller for signal processing and an Android-based device interacting with the...

This chapter presents an intelligent wearable system based on the design of an instrumented garment specially designed for firefighters and focuses on the context of crisis management. A powerful application of intelligent garments is related to risk management in hostile environments. By learning from data measured by the garment's sensors, a loca...

Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptro...

In this paper we introduce a novel method for augmenting the spinal 3D model in real-time scene during diagnosis of various spinal deformities especially scoliosis. Morphology of the spine can be adapted to the torso actual shape with the aid of new digital 3D technologies that is proposed to design garment from shape of body based on 3D model of s...

Bez obzira na ciljeve studije, bilo da se radi o morfološkoj klasifikaciji stopala ili prilagođavanju proizvoda poput ortopedskih uložaka / potplata ili prikladne obuće za atipična stopala, neophodno je pronaći racionalnu metodu za otkrivanje antropometrijskih točaka i krivulja. Studije o objašnjenju antropometrije stopala su malobrojne, a u nekim...

Regardless of the objectives of the study, whether it is the morphological classification of the feet or the customization of products such as orthopedic insoles or appropriate footwear for atypical feet, it is the imperative to find a rational method for detecting the anthropometric points and curves. The studies explaining the anthropometry of th...

Potrebe u području ortopedskih uložaka postaju sve važnije. Medicinska svrha ovih plantarnih proteza često je ispravljanje držanja ili biomehaničke neravnoteže koji imaju tendenciju da uzrokuju bol u raznim dijelovima tijela, ovisno o patologiji pacijenta. To se događa zbog povećanja broja ljudi s visokim tlakom ili onih koji imaju problema s dijab...

This paper presents the first phase of the process of building an intelligent platform for an e-commerce application. Its first step is consumer's morphology recognition which is an important stage in the process of 3D virtual try-on online. Using this platform will improve garment fit and will decrease return rates which affect the e-commerce sect...

Robots will face a huge deployment in a very near future for people’s everyday lives. Main objective is to reduce or eliminate safety and health risks inherent to physically demanding duty or risky work. The present paper focuses on unsafe and hazardous tasks performed by firefighters and aims at proposing organizational and technical tools to bala...

Since firefighters usually work in high risky working conditions, like high temperature, toxic gases, flames, explosion or collapse. It is extremely important to monitor their physiological states by analyzing in real time the firefighter's information on their health states. Moreover, it is certain that transmitting the firefighter's physiological...

Fetal movement is an important indicator showing fetal health. Classically, ultrasound and pregnant women's subjective perception are the most popular methods for detecting fetal movements. However, ultrasound is available in hospitals only, causing inconvenience to pregnant women. The pregnant women's subjective perception is strongly related to h...

T1-weighted Dynamic Contrast Enhanced (DCE) MR imaging is emerging as a method with the potential of predicting pharmacodynamic response of biomarkers for cancer. It is becoming an important tool for the detection, staging, and monitoring of highly vascularized tumors. Pixel-wise model-based methods are used for analysis purposes through the comput...

Le cancer de la prostate est le cancer le plus fréquent chez les hommes. Son développement entraine une néo-angiogénèse qui modifie le réseau capillaire. Il est reconnu que l'IRM dynamique (DCE-MRI) est capable de distinguer ces modifications de la microcirculation physiologique. Cependant, ces images restent difficiles à analyser et à interpréter...

Congrès sous l’égide de la Société Française de Génie Biologique et Médical (SFGBM).