Wireless Body Sensor Networks (WBAN) are a special case of wireless sensor networks (WSN), developed to operate at the human body scale. Thus, energy efficiency is one of the major aspects that must be taken into consideration before designing any WBAN solution, because the change of batteries could be very difficult, especially when sensors are implanted inside the human body. For this reason, several research projects have been carried out on the adoption of energy harvesting schemes, that aim to collect energy from several sources surrounding the human body (sun, body warmth, movements, heartbeat, RF radiation ...) and transform it into an electrical energy to power the nodes of a WBAN. Nevertheless, this harvested energy must also be better exploited, given the temporal variation nature of these alternative sources. The purpose of this paper is to present a general overview of energy harvesting schemes, as well as methods in literature focusing on optimizing the exploitation of the harvested energy in a WBAN, through Mac, routing or physical layer protocols.
Radar technology is increasingly being utilized for human activity recognition (HAR), offering non-contact methods that enhance accuracy and efficiency in various applications such as health monitoring and security.
Overview of Radar-Based HAR:
Radar-based human activity recognition leverages radar signals to detect and classify human movements without requiring physical contact. This technology is particularly beneficial in scenarios where privacy is a concern, such as smart security systems and health monitoring applications.
A non-fungible token (NFT) is a unique digital identifier that is recorded on a blockchain and is used to certify ownership and authenticity. It cannot be copied, substituted, or subdivided. The ownership of an NFT is recorded in the blockchain and can be transferred by the owner, allowing NFTs to be sold and traded. Initially pitched in 2017 as a new class of investment asset, by September 2023 one report claimed that over 95% of NFT collections had zero monetary value.
NFTs typically contain references to digital files such as artworks, photos, videos, and audio. Because NFTs are uniquely identifiable, they differ from cryptocurrencies, which are fungible (hence the name non-fungible token).
Proponents claim that NFTs provide a public certificate of authenticity or proof of ownership, but the legal rights conveyed by an NFT can be uncertain. The ownership of an NFT as defined by the blockchain has no inherent legal meaning and does not necessarily grant copyright, intellectual property rights, or other legal rights over its associated digital file. An NFT does not restrict the sharing or copying of its associated digital file and does not prevent the creation of NFTs that reference identical files.
Wireless Body Sensor Networks (WBAN) are a special case of wireless sensor networks (WSN), developed to operate at the human body scale. Thus, energy efficiency is one of the major aspects that must be taken into consideration before designing any WBAN solution, because the change of batteries could be very difficult, especially when sensors are implanted inside the human body. For this reason, several research projects have been carried out on the adoption of energy harvesting schemes, that aim to collect energy from several sources surrounding the human body (sun, body warmth, movements, heartbeat, RF radiation ...) and transform it into an electrical energy to power the nodes of a WBAN. Nevertheless, this harvested energy must also be better exploited, given the temporal variation nature of these alternative sources. The purpose of this paper is to present a general overview of energy harvesting schemes, as well as methods in literature focusing on optimizing the exploitation of the harvested energy in a WBAN, through Mac, routing or physical layer protocols.
https://www.sciencedirect.com/science/article/pii/S1877050919306143
https://drrobertyoung.com/wp-content/uploads/2024/10/1-s2.0-S1877050919306143-main.pdf
https://www.waves.intec.ugent.be/research/wireless-body-area-networks
Radar technology is increasingly being utilized for human activity recognition (HAR), offering non-contact methods that enhance accuracy and efficiency in various applications such as health monitoring and security.
Overview of Radar-Based HAR:
Radar-based human activity recognition leverages radar signals to detect and classify human movements without requiring physical contact. This technology is particularly beneficial in scenarios where privacy is a concern, such as smart security systems and health monitoring applications.
https://www.nature.com/articles/s41598-023-30631-x
A non-fungible token (NFT) is a unique digital identifier that is recorded on a blockchain and is used to certify ownership and authenticity. It cannot be copied, substituted, or subdivided. The ownership of an NFT is recorded in the blockchain and can be transferred by the owner, allowing NFTs to be sold and traded. Initially pitched in 2017 as a new class of investment asset, by September 2023 one report claimed that over 95% of NFT collections had zero monetary value.
NFTs typically contain references to digital files such as artworks, photos, videos, and audio. Because NFTs are uniquely identifiable, they differ from cryptocurrencies, which are fungible (hence the name non-fungible token).
Proponents claim that NFTs provide a public certificate of authenticity or proof of ownership, but the legal rights conveyed by an NFT can be uncertain. The ownership of an NFT as defined by the blockchain has no inherent legal meaning and does not necessarily grant copyright, intellectual property rights, or other legal rights over its associated digital file. An NFT does not restrict the sharing or copying of its associated digital file and does not prevent the creation of NFTs that reference identical files.
https://en.wikipedia.org/wiki/Non-fungible_token