The proliferation of ubiquitous computing devices, such as smartphones, biometric devices, fitness devices, entertainment gadgets, wearable, and nonwearable devices, enabled us to capture, store, process, and analyze the daily-life activities, which comes under the umbrella of lifelogging systems. These devices are equipped with various lifelogging tools and applications to capture and store user’s activities. Among these devices, smart TV is a device having all the capabilities to capture, store, process, and analyze a viewer’s activities. It supports computing capabilities, sensors, and other peripheral devices that can make a smart TV more intelligent for capturing and storing a viewer’s daily-life interactions, preferences, activities, and events of individuals and families. This captured data on a smart TV can be used for a variety of fields and domains, such as analyzing watching behavior and mental model, memory augmentation, viewer’s monitoring, user modelling, context-aware recommendations, e-learning, e-commerce, viewer’s privacy and security, and designing and development of adaptive user interface (UI). This chapter presents a critical review of current lifelogging systems and a comparison of different computing devices such as computers, smartphones, wearable devices, and smart TV for lifelogging capabilities. It also investigates the prominent applications of smart TV-based lifelogging systems, current challenges, and issues. Due to the vast applications of smart TV-based lifelogging, this area is still broad and needs proper attention to develop a secure, applicable, and robust lifelogging system.