Various　techniques　based　on　electronic　or　optical　signals　have　been　developed　to　perceive　body　movements,　which　is　essential　in　several　fields　such　as　healthcare,　rehabilitation,　and　human-computer　interaction.　However,　these　signals　are　obtained　externally,　not　from　within　the　body.　In　this　study,　we　introduce　an　electronic　skin　(e-skin)　body　motion　sensor　prepared　using　organic　polymers　and　metal　fabric　to　detect　motion　through　the　body＇s　electro-induction　(EI)　via　contact　with　the　ground　and　shoes　or　through　intrinsic　contact　electrification　of　the　skin.　The　device　can　achieve　an　EI　signal　up　to　450　V　and　charge　data　of　40　V　and　2.45　mu　A　when　it　is　detached　from　the　contacted　skin.　Moreover,　the　signal　can　be　automatically　extracted　and　trained　using　the　state-of-the-art　deep　learning　techniques.　The　sensor　can　accurately　track　sleep　activity　with　an　accuracy　rate　of　96.55%.　This　wearable　motion　sensor　can　be　seamlessly　combined　with　the　Internet　of　Things　technology　for　multifunctional　applications,　highlighting　its　potential　applications　in　human　activity　recognition　and　artificial　intelligence.