of additional devices such as treadmills and stationary bicycles may help to quantify and manage the intensity of the exergames played by patients during training sessions [11], buying and installing those devices requires more expense and an adequate environment. Another method used to quantify the weights of objects manipulated during exergames is pseudo-haptic technology, which provides real-time haptic feedback. A pseudo-weight can be described as a virtual weight that can be perceived without any contact with a physical weight [12]. This technology has been applied to users by providing a sense of touch when they catch or manipulate virtual objects using haptic devices [13]. There have been numerous wearable pseudo-haptic devices in the form of haptic gloves that provide touch and weight sensations. However, they have been found to reduce the user's natural range of motion during exercise and remain expensive [14]. With the emergence of MR, which is a technology that combines AR and VR features, as it merges the real and virtual environments' [2] visual cues (interactive imagination), MR can be used to create a more efficient pseudo-weight based on visualization and perception. Moreover, since MR stimulates users' imaginations and interactions and is capable of maintaining both real and virtual worlds, this new approach of pseudo-weight training using visual cues can be translated into haptic feedback [15; 16]. In a previous study, [PERSON] [17] developed an algorithm that uses machine learning and created a virtual pseudo-weight technique that only relies on the user's perception and visualization and is sensible to movement directions and velocity. Despite the development of this new approach, which does not require pseudo-haptic devices, such as haptic gloves, no study has been conducted to assess its feasibility and effectiveness on muscle activation. It is well known that resistance exercise is an effective method to assess the activity of muscles, as it produces strong muscle contractions when an external force has been applied. Previous studies have shown that several impacts of resistance training help to increase muscle activation and the cross-sectional area of muscle fibers, increase muscle strength [18], and delay the aging-related process of sarcopenia [19]. Therefore, performing resistance exercises may result in increasing muscle power for a healthy life, which is one of the principal reasons for improving muscle performance in various cases [20]. Another important factor influencing muscle contractions is that the central nervous system plays a crucial role as a regulator and stimulates the fast or slow twitch of fibers [21]. It would be of much interest to assess the effects of using pseudo-weights for resistance training with MR technology on muscle activation. To date, there has been less interest in research regarding pseudo-weight technology in rehabilitation, especially in home training programs. To our knowledge, no research has assessed the effects of pseudo-weight resistance training using MR technology on muscle activation or, more particularly, on its short-term effects. Therefore, the goal of the present study was to assess the effects of pseudo-weight training using HoloLens MR Glasses on shoulder muscle activation in an attempt to determine its feasibility in healthy young adults.