Context Each year, about 400 000 patients in Europe and 500 000 in the USA have a Total Hip Athroplasty (THA). 13% of these surgeries lead each year to a hip revision surgery, with an average cost 35% superior to the primary procedure, and with a higher level of morbidity. Multiplying surgical procedures also reduces functional capacities of the patient and significantly increases the risk of infection. One of the main causes of failure is the surgical technique itself, based on statistical criteria defined by retrospective analysis of clinical series. As those criteria present a large variability, they are not always appropriate for a given patient. The goal of arthroplasty procedure is to restore kinematic capabilities close to the original hip joint. However, the planning of such procedure is only based on static criteria. In addition, it is already proven that the kinematic behaviour of the lombopelvic area, specific for each patient, also influences the final stability of the hip implant. Several solutions already exist to guide the surgeon for the placement of hip implants, but those solutions are all based on statistical and static criteria. Solution The goal of this program is to develop a new concept of surgical navigation for total hip arthroplasty that includes a preoperative planning step taking into account dynamic information specifically for each patient. First, a preoperative step measures the pelvic kinematics of the patient and integrates those specific data into the model of a decision support tool. Second, an intraoperative step helps the surgeon to reach the desired position of the implant, thanks to an innovative instrumentation, which secures the surgical procedure and save time. The optimization of the femoral implant is performed with a trial modular neck that can be adjusted thanks to the Smart Screw Driver of Blue Ortho. Objective of this program The goal of this program is to develop an integrated solution comprising (1) an innovative system to measure preoperative dynamic parameters of the patient, (2) an intraoperative guidance software integrating those parameters, (3) an innovative instrumentation and (4) an adjustable implant. A preclinical validation will be performed in order to validate the proof-of-concept. The ratio risk/benefit will be evaluated in a clinical study that is not part of this program in order to determine the delivered medical service. The commercialization will be managed by the industrial partner of this project through an international network already in place.