Exoskeletons are companion devices that help a person to perform various daily activities. These can range from work to medical rehabilitation. The type of activity performed depend on the construction and control of the exoskeleton, so that some devices are for only one arm, others for both, can be driven by motors directly or through cables. Exoskeletons can be driven based on information received from position, force, speed sensors or by using EMG, EEG signals. Exoskeleton wearable devices began to appear around 1980, as an aid in physical work, in the handling of various heavy objects. Over time, they also covered the preventive-rehabilitation medical side, in order to reduce muscle pain or to restore specific movements, attenuated or even missing following accidents or diseases of the muscles. The paper presents an overview of the exoskeletons developed for the human arm.

Visible Light Communication (VLC) technology allows wireless data transmission piggybacked by illumination. Highly accurate and reliable systems based on VLC, as Indoor Positioning System (IPS) have been already developed by academics and specialized companies. Underground Positioning System (UPS) addressed here is embedded into the protection equipment, compulsory to be used underground, being therefore important to workers in potential dangerous spaces since fast data communication and real-time data interpretation is therefore possible. This paper presents the VLC technology implemented in mining underground specific environment for an accurate positioning and fast data communication for underground navigation with the main aim of developing a real time warning and alarming system based on Augmented Reality (AR) and Neural Networks (NNs) principles.

Under the circumstances of a patient’s upper limb disability, aided by a robotic arm with faulty controls, assistance is needed, using augmented reality as an auxiliary. Our system, with a headset, using an internet connection and an augmented reality device, placed on the assistant’s head, can ensure communication between the two, for both remote supervision and control. The assistant can enhance the control over the robotic arm, while having a head up display on the augmented reality glasses, based on what the patient sees. The communication is established through PC or mobile devices, connected to the internet. Having the patient’s view, and enhanced control over the robotic arm, the assistant can interact with nearby smart objects.

This paper explores the possibility of building an augmented reality (AR) smart system with a certain degree of artificial intelligence in order to recognize the components and their properties from the environment. The elements of the environment can be buildings, access roads, vegetation and so on. All of these can be accessed with AR devices, intelligent glasses, or smartphones displays. The buildings’ facades and the access routes, or any other form of geographical relief from the environment, can become triggers for connecting digital content to the real world. The paper presents the different existing applications of AR systems with emphasizes on the tourism field, discussing the potential of further development, the particular aspects concerning the conceptual elements of an AR based model design for postindustrial tourism development.

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