Activity recognition with implicit context classification

We exploit activity recognition from RF-channels. Exceeding current studies, we discuss an implicit recognition scheme to compute context classifications with a network of wireless nodes. In particular, we propose a networked adhoc classification scheme that utilises the RF-features on the wireless channel among nodes as implicit inputs. Furthermore, we discuss the possibility to execute mathematical operations during transmission on the wireless channel. We present a data encoding which can be utilised to implicitly add, multiply, subtract or divide values during simultaneous transmission. In a simulation, we demonstrate the computation with a set of values by these implicit operations during transmission.